87results about How to "Improve design efficiency" patented technology

The application discloses a three-dimensional model fast retrieval method, equipment and medium, and relates to the computer technical field. The method comprises the following steps: in response to receiving a part of a two-dimensional sketch of a three-dimensional model drawn by a user, performing image segmentation on the part of the two-dimensional sketch to obtain a plurality of sub-images; performing mapping processing on each sub-image to obtain an initial feature corresponding to each sub-image, and performing attention calculation on the initial features corresponding to the plurality of sub-images to obtain a plurality of first key features; fusing the plurality of first key features to obtain a second key feature corresponding to the part of the two-dimensional sketch; based on the second key feature, performing similarity matching on a feature database to obtain a plurality of target features, and searching a three-dimensional model set corresponding to the plurality of target features from a three-dimensional model database. In this way, the target three-dimensional model meeting the design intention of the user can be quickly and accurately retrieved according to the part of the sketch of the model drawn by the user, so that the design efficiency and the user experience are significantly improved.

This invention discloses a design method and inducer for a liquid rocket engine turbopump. Based on the overall design requirements of the liquid rocket engine, the operating conditions of the inducer are determined. According to the design requirements and empirical formulas, the basic parameters of the inducer are initially determined. Based on the range of core parameters, different combinations of core parameters are used to establish multiple initial three-dimensional models of the inducer. Simulations are performed on each of the established initial three-dimensional models to obtain the cavitation performance of the inducer. Based on the flow analysis results, the inducer with the optimal blade profile among all parameter combinations is obtained. The selected inducer with the optimal blade profile is then optimized and adjusted until the liquid rocket engine turbopump inducer with the best cavitation performance is obtained. This invention can design a liquid rocket engine turbopump inducer with good cavitation performance.

This invention discloses a rapid design method for low-sidelobe reflector antennas applied to complex requirements, comprising the following steps: S1: Calculate the initial focal coordinates of the long-axis reflector based on the structural parameters of the long-axis reflector, and calculate the half-angle of the main reflector and the distance from the feed to the vertex of the sub-reflector; S2: Calculate the initial focal coordinates of the short-axis reflector based on the principle of equal optical path length; S3: Introduce a coefficient set to construct a normalized focal distribution feature; S4: Keep the focal points fixed and dynamically reconstruct the focal distribution of the long and short axes within the full illumination angle range; S5: Calculate the coordinates of the main reflector and the sub-reflector; S6: Iteratively adjust the boundary focal points and the coefficient set to converge and obtain a reflector antenna that meets the low-sidelobe index. This invention has strong adaptability and extremely low algorithm freedom, with only 7 degrees of freedom; it can quickly achieve high-performance optimization of complex reflectors, perfectly adapt to irregularly shaped reflector antennas with large aspect ratios, and solve the design problem of asymmetric structures.

The present disclosure provides a packaging method and device of a circuit module, equipment and a storage medium, relating to the technical field of integrated circuit design, comprising: obtaining a first identifier corresponding to a circuit module to be packaged, a target parameter contained in the circuit module, a sub-circuit module and a corresponding second identifier, and a signal flow direction corresponding to the circuit module; based on the signal flow direction, processing the target parameter and the second identifier of the circuit module to obtain a topological connection mode corresponding to the circuit module; determining an external port corresponding to the circuit module; and packaging the circuit module based on the first identifier, the target parameter, the topological connection mode and the external port. Thus, based on the target parameter, the topological connection mode and the external port corresponding to the circuit module, the circuit module is packaged, which facilitates the instantiation of the circuit module, improves the reusability of the circuit module, and thus provides a condition for improving the design efficiency of analog circuits.

This disclosure provides a signal testing method, system, device, storage medium, and program product for chips, relating to the field of semiconductor technology. It addresses the technical problem of low chip testing efficiency. The chip has multiple input signals. The signal testing method includes: acquiring all input signals of the device chip; obtaining the time parameters of each device input signal; and generating a result table of the time parameters of all device input signals. By acquiring all input signals of the chip and obtaining the time parameters of each input signal, and obtaining a result table of the time parameters of all input signals, batch testing of the chip's input signals is achieved, improving the design efficiency of circuit designers, facilitating the design of test circuits, and increasing testing efficiency.

The application provides a manufacturing piece fitting detection system and a fitting detection method. The fitting detection system comprises a determination module configured to determine a plurality of to-be-detected parts in a manufacturing piece based on detection requirements; and an artificial intelligence model configured to determine a connection type between the plurality of to-be-detected parts based on the determined plurality of to-be-detected parts. The artificial intelligence model is further configured to detect a fitting relationship between the plurality of to-be-detected parts and determine whether the fitting relationship meets a design specification of the manufacturing piece according to the connection type. The fitting detection system provided by the application first determines the connection type between the to-be-detected parts by using the artificial intelligence model, and then determines whether the fitting relationship meets the requirements based on the connection type and the design specification, so that the reasonable fitting relationship in design can be avoided from being misjudged as a design problem, the accuracy of detection and judgment is improved, and the artificial intelligence model is used to automatically check whether each fitting relationship of the to-be-detected parts is reasonable, so that the detection accuracy and efficiency of the fitting relationship of the manufacturing piece are improved.

This invention relates to a brake disc optimization method, device, and medium based on four-factor constraints. The method includes: obtaining the mass of a target brake disc; establishing a model with an undercarriage structure based on the parameters of the target brake disc, and obtaining the maximum limiting temperature of each part; performing optimization design without exceeding the original mass to obtain the optimized brake disc; performing CFD steady-state simulation to calculate the steady-state cooling pump air ratio; when the maximum temperature is lower than the maximum limiting temperature, determining whether it meets the preset optimization target based on the steady-state cooling pump air ratio; performing CFD transient simulation analysis on candidate brake discs to calculate the transient cooling pump air ratio; when the maximum temperature is lower than the maximum limiting temperature, determining whether it meets the optimization target based on the transient cooling pump air ratio; if so, the target brake disc is the preferred brake disc. Compared with the prior art, this invention solves or partially solves the problem that existing brake disc optimization methods lack constraints during the optimization process, leading to unsatisfactory optimization.

This invention belongs to the field of integrated mask circuit generation technology, and provides a method and platform for generating and detecting integrated mask circuits. The method involves obtaining an S-box configuration file, parsing it, extracting the S-box, generating hardware circuits from the extracted S-box, and obtaining an S-box file. A test environment is constructed based on the S-box file, and corresponding test stimulus files are generated. Behavioral-level simulation is performed in the test environment, and simulation logs are recorded. The simulation logs are parsed to determine whether the S-box design is functionally correct. The RTL-level design of the S-box file is converted into a gate-level netlist based on the target technology library, generating a netlist file and an area report. Timing verification and power estimation are performed under preset timing and load constraints, generating timing and power reports respectively. Multiple reports are synthesized, key performance indicators are extracted, structured, and a comprehensive evaluation report is generated. This invention can improve the design efficiency, reliability, and overall performance of mask circuits.

This invention discloses a high-speed communication link transmitter modeling method based on a Transformer decoder. This method parameterizes the input signal and establishes a deep learning model with an encoder-decoder architecture, including a non-sequential encoder and a Transformer sequential decoder, to predict the output signal of the transmitter given the input signal. The encoder processes the input signal parameters, generates a context vector, and then passes it to the decoder. The decoder uses the context vector and the transmitter output signal sequence to generate a class probability distribution for each point in the sequence. The model is trained using a random masking strategy and employs non-autoregressive decoding and filtering techniques for inference, achieving parallel output sequence prediction. The final output is obtained through a single signal filtering step. Compared with traditional simulation techniques, this method significantly improves simulation speed while maintaining a very small error.

This invention provides a project design and optimization method, system, and storage medium. The method includes: acquiring initial project information; cleaning, normalizing, and performing correlation processing on the initial project information to obtain processed project information, wherein the processed project information includes processed historical project information and processed current project information; constructing a knowledge graph by processing the processed historical project information using a natural language processing algorithm and a fusion model; constructing a project performance prediction model using machine learning methods based on the processed historical project information and the knowledge graph; acquiring project requirements; determining constraints based on the project requirements; obtaining candidate projects based on the constraints, the project performance prediction model, and the processed current project information; and determining the final project based on the candidate projects. This application can improve design efficiency and reduce resource consumption.

This invention discloses a method and system for optimizing the layout of pipeline spaces in high-cleanliness industrial plants, relating to the field of computer intelligent construction technology. The method includes: acquiring a three-dimensional model of the building structure, equipment layout, and pipeline attribute information within the plant; dividing the pipeline layout area into grids based on the column grid and process equipment layout; calculating a location convenience index, structural impact index, and equipment association index for each grid, fusing them to obtain a comprehensive spatial importance index, and assigning functional area attribute codes accordingly; constructing a multi-objective optimization function with objectives including comprehensive pipeline cost, inter-pipeline conflict degree, and secondary connection pipeline space; constructing the pipeline system as a graph structure, using a graph neural network to solve the multi-objective optimization function, and generating a preliminary layout scheme; and outputting the final layout after collision detection and local adjustments. This invention achieves automated and intelligent layout optimization of pipeline spaces in high-cleanliness industrial plants, improving space utilization and reducing construction costs.

The application discloses an indoor distribution cable path intelligent generation method combined with building environment characteristics, and comprises the following steps: constructing a semantic grid map capable of distinguishing different building function areas by performing layer identification, semantic annotation and space discretization on an input building plan design map; based on the semantic grid map, different basic passing generation values are given to different types of areas, and a dynamic engineering constraint function comprising a corner turning penalty and a wall sticking reward rule is defined; path search of an improved A* algorithm is performed, in an engineering constraint cost field fused with the basic passing generation value and the dynamic engineering constraint function, a heuristic search algorithm with a dynamic penalty term is used to calculate and generate a candidate cable path meeting engineering specifications; virtual convergence points are determined through node clustering, the path search algorithm is applied hierarchically, a backbone path limited in a public area is generated, branch paths entering rooms are generated, and a complete indoor distribution system cable path topology is generated by merging.

This application relates to a feedforward-enhanced robust grid-connected control method for energy storage converters under wide grid impedance conditions, belonging to the field of power electronic control technology. This method transforms the current loop PI parameter design problem into optimizing the feasible stability region of the current loop controller. With the goal of maximizing the common adaptability of the stability region under different grid impedance conditions, it calculates the optimal feedforward coefficients and further calculates a set of current loop PI parameters that can cover wide grid impedance variations and possess high stability. Ultimately, it achieves feedforward-enhanced robust grid-connected control of energy storage converters under wide grid impedance conditions, fundamentally overcoming the blindness and inefficiency of traditional empirical parameter tuning, and significantly improving parameter design efficiency, overall system stability, and grid adaptability.

This invention relates to the field of mechanical manufacturing technology, and discloses a method and system for automatically selecting and designing molds for retaining rings and spring machines. The method includes: obtaining the basic parameters of the retaining ring to be processed, and determining the final machine model that meets the requirements of each processing stage based on the basic parameters; calculating the width-to-thickness ratio based on the width and thickness of the retaining ring to be processed, and determining whether it meets the requirements for fan-shaped processing based on the width or width-to-thickness ratio; if it meets the requirements for fan-shaped processing, determining the inner arc angle of the fan-shaped cut based on the basic parameters of the retaining ring to be processed and the final machine model; if it does not meet the requirements for fan-shaped processing, determining the punching angle based on the cut type and application, and selecting or designing a mold for the retaining ring to be processed. This invention achieves full automation and intelligence in the selection and design of retaining ring and spring machine molds by obtaining the basic parameters of the retaining ring, improving the efficiency and accuracy of mold design, and accurately matching processing parameters according to the specifications and process requirements of the retaining ring, reducing the reliance on the professional skills of operators.

The application discloses a kind of based on data-driven small modular prismatic high temperature gas cooled reactor core optimization design method and system, comprising: constructing training data set;Training a data-driven proxy model is used to replace the execution high-cost simulation calculation;With a multi-objective evolutionary algorithm, and with the proxy model as its fitness function evaluator, to explore design space and generate a set of Pareto optimal candidate solution.The key features of the application are an iterative validation and model updating closed loop: the candidate solution is verified by high-fidelity simulation, and if the prediction accuracy does not meet the convergence criteria, the new data points after verification are expanded to the training data set, and the proxy model is retrained.The application can significantly reduce the calculation cost, efficiently explore the complex design space, and obtain a physically reliable and more optimal reactor design scheme.

This application discloses a BIM-based automated design generation method for asphalt pavement structure combinations, comprising: constructing a rule base for asphalt pavement structure combination design schemes; automatically generating initial design schemes for pavement structure combinations based on the rule base; constructing a parametric model of the pavement structure based on BIM; establishing a data interaction module between the BIM model and simulation analysis software; analyzing and calculating the current pavement structure in the simulation analysis software to obtain response results; verifying the pavement structure design scheme based on BIM; analyzing and evaluating performance and economic indicators based on BIM; automatically generating the next set of schemes, iteratively optimizing to obtain a set of non-dominated solutions; and selecting the most suitable scheme for modeling. This application aims to achieve automatic generation, design, verification, and evaluation of road structure combinations in a BIM environment, helping designers explore the optimal road structure combination design schemes and improving design efficiency and quality.

The application discloses an interactive form design method and system based on a language large model, and belongs to the technical field of human-computer interaction and form automatic generation. In view of the problems that a traditional form design tool is tedious to operate, highly depends on manual experience, and an existing method based on a large model has high training cost, weak interaction ability and difficulty in real-time collaboration, the following scheme is used for improvement: defining a JSON Schema specification of a form and constructing a visual form designer, integrating a language large model interaction entrance in an interface, dynamically assembling a request containing user instructions, a JSON Schema specification and existing form data according to whether the form is empty, and submitting the request to the language large model; receiving a response in a streaming manner, and real-time analyzing and progressively updating a form designer preview interface, so that a user can directly generate or modify a form through natural language instructions, and multi-round interaction and manual subsequent adjustment are supported. The method is mainly used for reducing a form design threshold, improving design efficiency and intelligent collaboration level.

The invention discloses an airport pavement surface layer plate design method and system and a readable storage medium, and relates to the field of airport pavements, in the method, firstly, a block design parameter dictionary and design data are read to obtain a block design base, then point-line construction and seam line preprocessing are carried out by adopting a half-side data structure, and an airport pavement surface layer plate is obtained; and carrying out region segmentation and surface layer information assignment through an anticlockwise minimum region half grid method, then carrying out reinforcement design on underground pipelines, a filling and excavation boundary line passing region and a special-shaped region, and finally generating a three-dimensional model and assigning attribute information. According to the method, the associated configuration of the design parameters, the intelligent judgment of the reinforcement scheme and the seamless integration of the design data and the three-dimensional model are realized, and the design efficiency and accuracy are effectively improved.

The application discloses a design method and system of a two-dimensional material loaded metal monatomic catalyst, comprising the following steps: firstly, generating a substrate structure by using a random strategy, a space group and graph theory; then, removing and optimizing the substrate structure according to atomic environment and lattice constant comparison; then, confirming a stable substrate structure by using a density functional perturbation theory method and ab initio molecular dynamics calculation; then, loading a monatomic transition metal on the substrate to obtain a monatomic catalyst model, and constructing a catalyst attribute database by using first principle calculation; finally, designing a monatomic catalyst by machine learning and database interpretation analysis. The application can quickly obtain a target two-dimensional material loaded metal monatomic catalyst by combining high-throughput screening method, first principle calculation and machine learning.

The application relates to the field of information technology, in particular to an AI-based advertisement material multi-modal intelligent retrieval method and system. The method comprises the following steps: receiving multi-modal advertisement materials, and extracting content descriptions of the advertisement materials; converting the multi-modal advertisement materials and the content descriptions into unified multi-modal joint representation vectors by using a multi-modal fusion model, and constructing a material index library; receiving demand information of a new advertisement provided by a user, wherein the demand information comprises at least one of a content description, a target audience description and a delivery scene description; extracting embedding vectors of the demand information, performing retrieval in the material index library according to the similarity between the embedding vectors and the multi-modal joint representation vectors, and obtaining advertisement materials with a similarity higher than a preset threshold as candidate results; and generating a predicted effect tendency of the candidate results, and outputting the candidate results as retrieval results after screening according to the predicted effect tendency.

This invention relates to a design method for a medium-temperature chilled water centralized air conditioning system, belonging to the field of energy-saving air conditioning system design technology, and filling the gap in existing technologies for design methods of medium-temperature chilled water centralized air conditioning systems. The design method includes the following steps: S1, initial data extraction and initial judgment: determining whether adjustments to the selection and design of conventional fresh air handling units and fan coil units are needed; S2, calculating the indoor heat-to-moisture ratio and determining the air supply state point; S3, calculating the dehumidification capacity of the fresh air handling unit and fan coil units; S4, setting equipment selection parameters; S5, evaluating the dehumidification capacity of the fresh air handling unit; S6, evaluating the dehumidification capacity of the fan coil units; S7, determining the system supply water temperature. This invention can design medium-temperature chilled water centralized air conditioning systems with different operating conditions and determined supply water temperatures for different climate zones. Compared with normal temperature systems (7 / 12℃), the medium-temperature system has a higher evaporation temperature of the chiller unit, which can improve the system COP and achieve energy saving in air conditioning.

The present application relates to the technical field of agricultural machinery design, and more particularly to a seedling disc parameterization design method and system for a seedling throwing machine and a product, the method defines the shape by adjusting the depth, contour, cross section and clamping point parameters through the establishment of a parameterized pot body geometric model; a multi-objective evaluation system covering bending performance, pulling performance, growth adaptability and manufacturing economy is constructed; the user input agronomic requirements and machine parameters are received, the target volume and bending radius are automatically derived, and the optimization algorithm is driven to search for the optimal pot body geometric parameters with the highest comprehensive score. The product is characterized by having a nonlinear power function contour, an intelligent response clamping point and an optimized non-circular cross section. The present application method realizes adaptive mapping from agronomic requirements to optimal design, solves the industry problems of strong dependence on traditional design experience, no matching disc machine and difficult performance balance, and significantly improves the design efficiency, seedling disc reliability and operation quality.

The present invention provides a method for generating a pattern matching identifier (PMID), comprising receiving a first cell layout design having one or more layers; generating a PMID for the first cell layout design using a predefined encoding, the PMID being based on attributes of the first cell layout design; and generating a second cell layout design based on the first cell layout design and the PMID, the PMID being stored in the second cell layout design layer.

This invention relates to the field of computer-aided design technology, specifically a digital design system for rib jacquard fabric textures. The system includes a jacquard pattern structure conversion module, used to acquire the coordinate parameters of coil nodes and the connection direction parameters of adjacent coil nodes within the design pattern, establish a jacquard directed graph, extract the surface identification parameters of coil nodes, assign cross-layer weight values ​​to directed edge parameters based on the difference in surface identification parameters, and fuse the cross-layer weight values ​​with the jacquard directed graph to generate a weighted graph dataset. In this invention, by comparing risk values ​​with separation threshold parameters, a node reconstruction distribution set is automatically established within abnormal grid areas, replacing the original connection direction attributes to generate a digital jacquard pattern set, thus completing a closed-loop, intelligent repair of design defects. This allows fabric structural defects to be detected and eliminated during the design phase, avoiding repeated trial and error in the physical sampling process and improving design efficiency and first-time success rate.

The application discloses an optimization method of a rolling wing blade connecting rod mechanism, and belongs to the field of rolling wing aircrafts.The blade swing angle is represented by structural parameters of the blade connecting rod mechanism, and the structural parameters of the blade connecting rod mechanism, including the lengths of the connecting rods, the coordinates of key hinge points and configuration bias, are defined as a variable vector; multiple target functions are constructed for multiple key working conditions such as hovering, forward flight and transition, the multiple target functions not only quantify the performance of the connecting rod mechanism itself, such as kinematic fitting error with a target motion law, dynamic stability index and force transmission efficiency index, but also cover aerodynamic efficiency index and aerodynamic acoustic index which are directly related to the performance of the whole machine; and the optimal structural parameters of the blade connecting rod mechanism are obtained by solving the multiple target functions under constraints, so that the global optimization of the structural parameters of the blade connecting rod mechanism under multiple working conditions, multiple targets and multiple constraints can be realized.

This invention belongs to the field of seismic design technology for railway bridges, and relates to a seismic analysis method for railway bridges using a variable friction coefficient friction pendulum bearing for seismic isolation and vibration reduction. This method is used to determine the design displacement D of the variable friction coefficient friction pendulum bearing; specifically, it includes the following steps: establishing an equivalent period T based on the design parameters of the variable friction coefficient friction pendulum bearing. eff The relationship between the coefficient of friction and the variable friction coefficient; based on the bridge design conditions, the relationship between the equivalent period and the acceleration response spectrum value is established, and S(T) is obtained. eff Determine the damping adjustment coefficient η; equivalent damping ratio ξ; establish support displacement and equivalent period T. eff S(T) eff By considering the relationship between η and η, and combining it with Newton's iteration process, the final support displacement D is determined. This invention saves time by using analytical expressions for calculation, avoiding tedious modeling, long computation times, and convergence issues compared to the finite element model nonlinear time history analysis method. This allows for rapid evaluation of the seismic performance of different support parameters and structural configurations during the scheme design, parameter optimization, and preliminary design stages.

The utility model belongs to the field of shield machine cutter design device, concretely relates to a low resistance cambered surface design device of high -efficient shield machine cutter, has solved the cambered surface design device of current shield machine cutter in prior art, is inconvenient to the resistance test of cutter, reduces the problem of shield machine cutter design efficiency, including the bottom plate, the upper surface fixed connection of bottom plate has the support seat, the upper surface fixed connection of support seat has the fixed plate, the upper surface mounting of fixed plate has the hydraulic rod, the output of hydraulic rod installs pressure sensor, the left side surface mounting of pressure sensor has the fixed frame, the front surface fixed connection of fixed frame has the fixed frame, the front surface mounting of fixed frame has the speed -reducing motor, the output of speed -reducing motor installs the rotating bearing, the inboard wall mounting of fixed frame has the bearing seat, the inside mounting of fixed frame has the cambered surface cutter, the upper surface fixed connection of bottom plate has the fixed seat.

The present application provides a kind of mine roadway support intelligent design and feedback optimization system and method, it is related to mine support technical field, including rock mass quality classification, support parameter automatic design, knowledge graph case reasoning and AI optimization, agent model quick verification, three-dimensional visual support design and digital twin modeling, BIM / GIS integrated interface, multi-source monitoring and early warning, dynamic feedback optimization and surrounding rock parameter inversion, design report generation and multi-roadway progress board nine big subsystems.The intelligent generation and optimization of support scheme are realized based on machine learning algorithm through multi-source data fusion analysis, the three-dimensional visual model of roadway is established using digital twin technology, the dynamic adjustment of support scheme is driven by real-time monitoring data, the scientificity and economy of support design are effectively improved, the complex geological instability risk is effectively resisted, the intelligent management of support full life cycle is realized, and the safe and efficient production of mine is ensured.

The application provides a heat dissipation structure design method of an intelligent processor, comprising the following steps: a model reconstruction step, combining a design process of a structure design software and a thermal simulation software, reconstructing models according to modeling results of the two design processes, and obtaining temperature results of the two design processes; an error calculation step, the thermal simulation software calculating error parameters of the two design processes according to the temperature results of the two design processes; and an equivalent transformation step, the structure design software performing equivalent transformation design according to the error parameters. The application also provides a heat dissipation structure design device of an intelligent processor, a storage medium and an electronic device. Therefore, the application fully utilizes the advantages of the two heat dissipation structure design methods, simplifies the process, reduces the design cost, and improves the design efficiency.

The application belongs to the technical field of electric power survey design, and discloses an electric power survey design integration method and system for smart grid construction, which comprises the following steps: extracting preset engineering characteristics of existing survey results in a current engineering area, combining current engineering planning condition characteristics to form a sample set; inputting the sample set into a pre-trained graph neural network to output engineering application probability and instability risk score of each survey result, wherein the nodes of the graph neural network correspond to single survey result, and the edges are constructed based on spatial adjacency, engineering correlation or common participation in design relationship; generating design consistency constraints for survey results meeting a preset threshold; and finally checking the compliance of the design scheme and the constraints. The method realizes substantial integration of survey and design, improves design efficiency and quality, and reduces the risk of rework.