13 results about "Functional decomposition" patented technology

The application discloses a kind of based on MBSE joint simulation technology's cabin ventilation system design method, first obtain the heat and air consumption parameter of ship cabin equipment, synchronization to the SysML system model based on MBSE construction;System function and performance requirement are analyzed by requirement modeling, and parameter modeling obtains the ventilation and cabin target environment parameter requirement;Design system physical architecture, complete function decomposition and sub-equipment distribution, and the architecture feasibility is verified by function simulation;Performance simulation model is constructed, and the optimal scheme is selected by simulating actual working condition, and the performance feasibility is verified by long-time simulation;Finally complete system three-dimensional digital design and space arrangement, and complete design after verifying space feasibility.The application realizes cabin ventilation system whole-process model-driven design, significantly improves design efficiency and reliability, reduces design rework risk.

The invention provides a test case generation method and device, the device comprises a test case generation model, and the test case generation model comprises a multi-source data analysis module used for preprocessing multi-source data to obtain preprocessed data and extracting entity semantic information from the preprocessed data, performing association analysis on the information to obtain a structured knowledge graph; the thinking tree driven test demand analysis module is used for performing functional decomposition, boundary analysis, state transition and abnormal path processing on the analysis result to obtain a test point set; the test case generation module is used for sequentially performing test point structured analysis, context enhancement, engineering prompt, structured output and quality verification on the test point set; and the fault knowledge base optimization module is used for sequentially carrying out data preprocessing, feature extraction and fault mode mining on historical faults and test record files to obtain optimized test cases.

The invention belongs to the field of structural reliability analysis and life evaluation, and particularly relates to a weighted Kriging flaperon mechanism fatigue reliability analysis method based on decomposition coordination. The method comprises the following steps: S1, recognizing a failure mode through structural function decomposition of a flaperon mechanism; s2, performing uncertainty modeling and sample design based on the failure mode; s3, constructing a subsystem-level weighted Kriging agent model based on the samples; s4, constructing a decomposition coordination model based on coupling variables, and performing iterative solution on the subsystem-level weighted Kriging agent model according to the decomposition coordination model to obtain a system fatigue life prediction agent model; and S5, performing reliability evaluation and result output of the system fatigue life based on the system fatigue life prediction agent model. According to the method, a decomposition-coordination thought is taken as a main line, and a weighted Kriging proxy modeling technology is taken as a core modeling tool, so that efficient fatigue life prediction and reliability evaluation of the flaperon mechanism under various uncertainty influences are realized.

The application discloses a low-energy state logic synthesis method, system, medium and program product, the method comprises the following steps: screening simple logic functions which meet the requirements of the tolerable margin of threshold voltage; dividing all the screened simple logic functions into multiple logic function sets by changing the number of the screened simple logic functions; performing energy consumption driven function decomposition, simple logic function merging and state logic gate mapping on original complex calculation functions in the input state logic design file in units of logic function sets, and selecting the optimal mapping result as the final output mapping result according to the principle of minimum energy consumption. The application aims to improve reliability by selecting a synthesis unit library for synthesis through reliability evaluation of state logic gates, and reduce the overall energy consumption of the state logic gate execution sequence through various energy consumption optimizations of function decomposition, simple logic function merging, mapping and result selection.

The invention relates to an AI teaching tool layering method, system and device based on resource evaluation and a medium. According to the method, college multi-dimensional data is collected to generate an original resource data set, the data set is preprocessed to generate a standardized resource feature vector, and a college resource portrait is generated based on the vector through evaluation of a composite model combining an analytic hierarchy process and fuzzy comprehensive evaluation. The method comprises the steps of establishing a resource demand fingerprint and constructing a layered tool library through functional decomposition of an AI teaching tool, generating a deployment scheme based on a resource portrait and the tool library through a mixed recommendation model of collaborative filtering and a decision tree in combination with a multi-objective optimization algorithm, and constructing an anomaly detection model through collection of operation indexes to generate an anomaly result. And constructing a reinforcement learning environment based on the monitoring data and an abnormal result to realize a DQN algorithm to generate an optimized deployment strategy. The problems of poor tool adaptability, high deployment failure rate, unbalanced resource utilization and the like caused by lack of accurate evaluation and continuous optimization mechanisms are solved.

This invention discloses a fatigue state evaluation system and method for unmanned aerial vehicle (UAV) operators. It employs a strategy combining functional decomposition and task orientation to construct a hierarchical evaluation system encompassing four dimensions: eye-tracking perception, cognitive integration and attention allocation, task-related eye-tracking performance, and eye-tracking-fatigue iterative learning and adaptation. This system is quantitatively represented through 36 underlying indicators. A task-situation gating weighting model based on a normal cloud model and Shapley value game is constructed. Expert verbal ratings are converted into cloud drops to retain fuzziness and randomness. Shapley values ​​are used to eliminate redundant indicator coupling, and subjective and objective weights are dynamically integrated through task-situation gating factors. This invention can accurately quantify operator fatigue state in conjunction with task context, solving the problem that traditional static evaluation is difficult to adapt to dynamic environments and individual differences. It improves the robustness and accuracy of UAV inspection personnel status assessment and has strong applicability.

The invention provides a design method and system for customized performance detection equipment. A forward design process of the customized performance detection equipment is promoted by a'demand-function-architecture-physics' system engineering modeling method MBSE based on a model; an environment-based design theory EBD is fused, the problem of solving the theory TRIZ and a special large language model LLM into a system engineering process MBSE is solved, so that demand analysis and functional decomposition are carried out, and customized detection demands and complex environment simulation requirements are effectively converted into a complete environment equivalence and index detection function design scheme through a structured method; a multi-physics field coupling simulation module is combined, dynamic simulation of a test process is carried out based on an equipment design scheme, technical parameters are optimized according to a virtual test effect, interaction with actual data in an operation and maintenance stage is carried out by using the same verification module, and a digital twinborn body oriented to equipment full life cycle parameter optimization is constructed.

This invention relates to the field of reliability engineering technology, specifically to a method and system for allocating certainty reliability indicators for an electrically driven turnout tamping machine based on a material-energy-information network. The method first performs functional decomposition and performance analysis of the entire machine, extracting key performance parameters of each subsystem and constructing performance margins. Based on certainty reliability theory, it determines the material-related reliability. Secondly, it establishes energy and information networks through the electric traction power supply relationship and the telemetry and control link, respectively, calculating the energy-related reliability and information-related reliability of each subsystem, and combining these three to obtain the subsystem functional reliability. Based on this, the system reliability is expressed as the minimum value of the subsystem functional reliability. System reliability interval constraints and performance margin mean and variance constraints are introduced to construct an optimization model with causal importance-weighted subsystem functional reliability as the objective function. An intelligent optimization algorithm is used to solve for the reliability indicators and margin allocation of each subsystem. This method can achieve refined and quantitative allocation of reliability indicators for each subsystem of an electrically driven turnout tamping machine under small sample and uncertain conditions, improving the reliability and safety of the entire machine under complex operating conditions.

Unlike conventional or otherwise known decomposition methods like standard functional decomposition, time-affecting linear pathway (TALP) decomposition, or output-affecting linear pathways (OALPs) from the decomposition of TALPs, advanced output-affecting linear pathway (A-OALP) decomposition from algorithms separate the output variables of each execution pathway such that there is only one output variable per A-OALP, converting an algorithm into a set of process groups. A-OALPs extend parallelization by combining task-like parallelism with dynamic loop parallelism. The lightweight nature of A-OALPs allows for persistent thread and code management.

The invention relates to a function forward construction method of an aero-engine control system, and relates to the technical field of control systems. The method comprises the following steps: obtaining function demand data, wherein the function demand data corresponds to a target function; constructing a sub-function set corresponding to the target function through the function demand data; and generating function construction data corresponding to the target function based on the sub-function set, wherein the function construction data is used for constructing the target function based on the computer language. A system engineering method is introduced, the forward design of the aero-engine system is decomposed into three processes of demand capture, function analysis, architecture design and function decomposition, each stage of the life cycle of the system design is controlled in series, verification is convenient, and the maintenance cost is low.

The invention discloses a low-energy-consumption state logic synthesis method, a low-energy-consumption state logic synthesis system, a medium and a program product. The low-energy-consumption state logic synthesis method comprises the following steps: screening out simple logic functions of which the tolerable margin of threshold voltage meets requirements; dividing all the screened simple logic functions into a plurality of logic function sets by changing the number of the used screened simple logic functions; and by taking the logic function set as a unit, performing energy-consumption-driven function decomposition, simple logic function combination and state logic gate mapping on original complex calculation functions in an input state logic design file, and selecting a mapping result with optimal performance as a final output mapping result according to a lowest energy consumption principle. According to the method, the reliability is improved by synthesizing the reliability evaluation selection comprehensive unit library realized by the state logic gate, and the overall energy consumption of the execution sequence of the state logic gate is reduced through multiple energy consumption optimization of functional decomposition, simple logic function combination, mapping and result selection.

The invention provides a large language model-based floating point arithmetic unit Verilog code generation method, which comprises the following steps of: obtaining a total function document of a target FPU through LLM (Log Language Model) by using natural language function description of the target FPU; based on the total function document, performing function decomposition on a target FPU through LLM to obtain a plurality of function sub-modules and corresponding sub-function documents; updating the total function document by using all the sub-function documents; rewriting a Verilog sub-module code through LLM based on the sub-function document; based on the Verilog submodule code, obtaining an accuracy score of the total function document, and based on the total function document with the highest accuracy score, generating feedback information; functional decomposition and Verilog sub-module code rewriting are iteratively executed according to the feedback information, iteration operation is ended when an iteration termination condition is met, and a final Verilog code of the target FPU is generated according to the Verilog sub-module code when iteration is ended. The invention further provides a floating point arithmetic unit Verilog code generation device based on the large language model.

A method and an apparatus for generating conceptual design for mobility apparatus. The method includes: generating problem definition data according to a requirement specification of a user; generating function data according to functional decomposition for each aircraft mission based on the requirement specification and the problem definition data; extracting element data of a main configuration of the aircraft based on design concept data searched for based on the required function data and databased external data; and generating matrix data having airframe configuration data of the aircraft based on a combination of the element data of the main configuration.