37 results about "Functional relation" patented technology

The invention discloses a reverse clearance compensation method and device, a numerical control system, a storage medium and a computer program product, and the method comprises the steps: determining target increment compensation time for carrying out reverse clearance increment compensation according to a reverse jump value of a motion axis of a numerical control machine tool and a preset function relation model of the reverse jump value and the increment compensation time; according to the reverse gap maximum value, the target increment compensation time and a preset formula, determining compensation values for performing reverse gap increment compensation on the motion shaft in different motion states; and performing increment compensation on the reverse gap according to the compensation value within the target increment compensation time. According to the scheme, reverse gap errors of different scenes are counteracted, the change rhythm is controlled through the target compensation time, mechanical impact and vibration of the machine tool are reduced, and operation stability and positioning precision are improved.

The invention discloses a warhead performance prediction method based on a small sample, and the method comprises the steps: determining the to-be-predicted performance of a warhead and the influence parameters of the to-be-predicted performance, and constructing an implicit function relation; testing influence parameters and corresponding warhead performance; constructing an embedded proxy model according to a test result; and predicting the warhead performance corresponding to the new influence parameter by using the embedded agent model. According to the method, the performance of the warhead can be predicted with high precision, few test samples are needed, and the calculation efficiency is high.

A method for correcting reflected radiation in radiation thermometry through a calibration experiment. A blackbody furnace is used to calibrate the radiation thermometry sensor to obtain the relationship between the system input radiance and the output. Then, in a temperature measurement environment with a high-temperature background, the reflected radiation is calibrated to establish the functional relationship between the reflected radiation and the system output. In subsequent temperature measurement experiments, the radiation energy received by the system is corrected according to the established functional relationship, and the true temperature of the object is calculated according to the radiation thermometry principle. The method of the present invention solves the problem that the reflected radiation under a high-temperature background affects the temperature measurement of the object, can effectively eliminate the temperature measurement error caused by the reflected radiation, and realizes high-precision temperature measurement.

Methods, systems, and computer-readable media are used in graph-based machine learning of analog integrated circuits (ICs). In a first aspect, functional device pairs in transistor-level circuits are detected and classified using a hybrid approach combining a subgraph isomorphism algorithm, such as VF2, with a trained relational-graph convolutional network (RGCN). The VF2 algorithm identifies candidate pairs and initial categories, while the RGCN filters false positives using link prediction scores, preserving category labels for validated pairs. In a second aspect, a relational GraphSAGE model performs multi-class link prediction on a heterogeneous graph with netlist and functional relation edge types, labeling device pairs into analog primitive categories without technology-dependent features and merging overlapping pairs into larger functional groups. In a third aspect, circuit performance is predicted using a hierarchy-aware graph neural network comprising an edge-conditioned convolution (ECC) layer and multiple Circuit graph isomorphism network layers corresponding to hierarchy levels of device groupings.

The present invention discloses a calculation method for agricultural water-saving potential based on system dynamics, which includes dividing agricultural water-saving into five subsystems and selecting water-saving indicators for each subsystem; determining constant variables and intermediate variables, and constructing functional relationships between all water-saving indicators and constant variables and intermediate variables in each subsystem; according to the functional relationships, using Vensim PLE software to construct dynamic models of the five subsystems respectively; setting initial values of water-saving indicators, constant variables and intermediate variables, obtaining multiple verification objects and their annual water-saving indicators in the time boundary, and conducting authenticity tests on the system dynamic model composed of the five dynamic models. When the verification fails, adjust the constant variables and / or the water-saving potential relational expressions of the system dynamic model, and then return to the authenticity test step; after passing the verification, use the functional relationships and water-saving potential relational expressions of the system dynamic model to calculate the agricultural water-saving potential of the research area in the current year or the predicted year.

The invention provides a high-speed flow interpretable artificial intelligence control method based on knowledge distillation. Wherein the electronic equipment obtains a pre-trained high-speed flow control model, and the high-speed flow control model is a model based on a neural network and can generate a disturbance strategy according to flow field state information; and distilling a lightweight control model in a symbol expression form by using a high-speed flow control model. Therefore, knowledge contained in the high-speed flow control model is extracted and converted into the lightweight control model in the symbol expression form, and the symbol expression is an explicit mathematical expression form and can directly reflect a function relationship between an input variable and an output result, so that compared with an implicit neural network model, the knowledge contained in the high-speed flow control model is extracted and converted into the lightweight control model in the symbol expression form; and the method has higher transparency and understandability.

Disclosed herein are systems and methods for generating notional data. The method includes: receiving seed data of one or more object types in a base dataframe; defining one or more functional relationships associated with the one or more object types, at least one functional relationship of the one or more functional relationships specifying a change to seed data of one object type of the one or more object types; generating data of the one or more object types based at least in part on the seed data in the base dataframe and the one or more functional relationships; and generating the notional data based at least in part on the generated data of the one or more object types.

The invention relates to a computer-implemented method (100) for solving at least one differential equation of at least one physical model, comprising at least the following steps: training (102) at least one neural operator (10) using input training data and output training data associated with the at least one differential equation, wherein the at least one neural operator (10) performs at least one Fourier transform using at least one learning quantum Fourier transform quantum circuit (20), wherein the neural operator (10) and the learning quantum Fourier transform quantum circuit (20) are trained such that the at least one neural operator (10) outputs at least one functional relationship between the input training data and the output training data;and determining (104) at least one solution (28) of the at least one differential equation using the at least one trained neural operator (10). The method (100) exhibits increased time efficiency.;

This invention discloses a method, system, and equipment for disaster relief using swarm robots. The method includes: simulating a disaster relief scenario; determining the hard rules that each robot in the swarm must follow based on its actions and states in the simulated scenario; constructing a functional relationship between the adoption rate of social rules and the performance indicators of the swarm robots; constructing a compromise decision model based on the performance indicators, the social rules, and the functional relationship; solving the compromise decision model using an adaptive linear programming algorithm and performing multi-objective visual trade-off analysis to obtain the range of social rule adoption rates that satisfies all the performance indicators; and directing the swarm robots to perform disaster relief based on the range of social rule adoption rates. This invention can minimize casualties and property damage in disaster relief.

This invention provides a method and system for optimizing feed rate in high-efficiency constant-force cutting with complex trajectories. The method includes: establishing a functional relationship model between spindle torque and feed rate; constructing a multi-objective optimization function based on the functional relationship model, with the objectives of minimizing machining time and minimizing spindle torque fluctuation; solving the multi-objective optimization function under preset constraints to obtain an optimal solution set; selecting the optimal solution from the optimal solution set to generate an optimized feed rate sequence, and updating the CNC machining code accordingly. This invention establishes a direct functional model between feed rate and spindle torque, constructs a multi-objective optimization problem with the core objectives of minimizing machining time and minimizing torque fluctuation, and introduces constant torque constraints, feed rate limits, and smoothness constraints. It employs a hybrid intelligent algorithm combining NSGA-II and Particle Swarm Optimization (PSO) for efficient solution, thereby significantly improving machining efficiency while ensuring stable machining load.

The invention discloses an oversized transmission drum body structure optimization design method and system, and the method comprises the steps: firstly building a drum body parameterized model in a finite element environment, building design variables of all structural parameters of a drum body, carrying out the grid division, adding constraints, and carrying out the static simulation, thereby obtaining the deformation of the drum body and all stress values of a dangerous section; creating and generating output variables according to the parameters; secondly, obtaining corresponding experimental data matrix data between multiple groups of structural design variables and output variables by utilizing an experimental design module in ANSYS; thirdly, importing experimental matrix data into Matlab, fitting to obtain a function relational expression between a structural design variable and an output variable, then creating a variable, a constraint function and an objective function of an optimization design model, creating an optimization program based on a heritage algorithm, and realizing the volume optimization of the cylinder on the premise of meeting various constraint conditions; therefore, the optimization design of the cylinder structure is completed; according to the scheme, by means of the method, the precision of optimization design of the oversized transmission drum body structure is further improved.

The present disclosure relates to a method of predicting resource load in Industrial Control Systems (ICS). The method comprises receiving input configuration data associated with at least one of, a control system intended to be deployed or an application deployable for a component associated with the control system. Further, the method comprises predicting a resource load of the at least one of, the control system or the application. The resource load is predicted based on the input configuration data, by using an approximation model representing a predetermined functional relationship between historical input parameters comprising one or more attributes of a deployed control system and corresponding resource loads.

The present application provides a function-based data sending method, apparatus, device, and data receiving method. The implementation of the data sending method includes: obtaining data to be sent and splitting the data to be sent into X data shards; determining a digital equivalent, which is determined during the TCP / IP connection establishment process between the sending end and the receiving end; obtaining a first data shard among the X data shards and determining a first functional relationship satisfied by the value of the first data shard and the data equivalent; obtaining first coding information of the first functional relationship in a data dictionary, where the data dictionary includes coding information corresponding to multiple functional relationships; and sending the first coding information. By using the data sending method of the embodiments of the present application, during the TCP / IP transmission process, coding information is determined in the data dictionary according to the functional relationship satisfied by the value of the data shard and the data equivalent and the coding information is sent, reducing a large amount of data transmission volume and thus improving the data transmission efficiency.

The application provides a kind of blasting damage simulation technology that is self-adaptive to field rock mass, comprising the following steps: establishing the functional relationship between rock mass blasting damage variable and rock mass acoustic velocity and rock mass mechanical parameter; continuously carrying out rock mass acoustic wave test, and establishing blasting damage constitutive relation adaptive to field rock mass; respectively introducing rock mass damage calculation input parameter embedded with damage variable and rock mass blasting damage constitutive relation embedded with time into blasting damage numerical simulation to obtain blasting damage model; using Fortran language to compile the user fixed format self-defined program of blasting damage model, embedding the user self-defined program into dynamic finite element software LSDYNA through secondary development interface to calculate and simulate rock mass blasting damage characteristics. The method of the application can accurately predict the blasting damage characteristics of field rock mass.

The invention relates to the technical field of bridges, in particular to a flying swallow type arch bridge arched girder crossing area bridge deck system design method based on the Saint Venant principle, which comprises the following steps of: initially determining a first function relation and a second function relation, establishing at least two finite element models, respectively performing finite element analysis on each finite element model under the action of main force, and calculating the bridge deck system of the flying swallow type arch bridge arched girder crossing area. Obtaining at least two groups of analysis results, and fitting the first function relation and the second function relation according to the analysis results; and controlling the structure safety according to the fitted first function relation and the allowable stress of the material, and controlling the material utilization rate according to the fitted second function relation and the allowable stress of the material. The technical problems that in the prior art, the number of common cross beams connected with the transition longitudinal beams is difficult to determine in advance, the connecting structure of the arched beam crossing area is too complex, the drawing workload is too large, the structure stress cannot meet the requirement, or the material utilization rate is too low can be solved.

Examples of the present disclosure provide a parameter optimization method, device and computer readable storage medium. The method includes: establishing a one-to-one functional relationship between each parameter and each performance index; determining each current correlation coefficient between the parameter and each performance index based on the one-to-one function relationships; obtaining a current weight of each performance index; according to current weights and current correlation coefficients, obtaining a current influence coefficient of each parameter on a comprehensive performance of the performance indexes; and determining important optimization parameters according to the current influence coefficient; for each two parameters, calculating a current correlation coefficient of the two parameters, and determining an adjustment parameter; and performing parameter optimization based on the important optimization parameters and the adjustment parameters. The technical solutions of the present disclosure can improve the parameter optimization efficiency.

The invention provides an optimization method and system of a hydraulic servo valve and a storage medium. The optimization method of the hydraulic servo valve specifically comprises the following steps that boundary conditions and constraint conditions of the hydraulic servo valve are obtained, and a mathematical model is established; an initial three-dimensional model is established, the working state of the initial three-dimensional model is simulated, and a simulation result is obtained; determining an optimization variable, obtaining a preset optimization target, and establishing a function relation between the optimization variable and the preset optimization target; performing iterative mating on the optimization variable by using a genetic algorithm, continuously obtaining a mating result, and stopping iteration if a preset condition is met; and screening an iteration result, outputting an optimal value of the optimization variable, and constructing an optimal three-dimensional model. And establishing a three-dimensional model and performing simulation to obtain a function relationship, finding an optimal value of an optimization variable through a genetic algorithm, obtaining an optimal structure of the servo valve, and efficiently obtaining the optimal structure of the hydraulic servo valve.

Function relations between or among functions in source code can be determined using debugging data. A service can receive a debugging file in a standardized format as input. The debugging file can correspond to compiled code generated subsequent to compiling the source code. The service can determine a set of functions based on the debugging file. The debugging file can include one or more attributes corresponding to the set of functions. Subsequently, the service can determine, based on the attributes, one or more function relations associated with the set of functions. The service then can generate a data structure mapping each function relation of the function relations to the source code. The service can automatically control deployment of the source code based on a compliance score that indicates compliance with a functional safety requirement. The compliance score can be generated based on the function relations indicated by the data structure.

The invention discloses a horizontal bearing design method suitable for root foundation, which belongs to the technical field of civil engineering. The method comprises: obtaining soil body related parameters, constructing soil unit stress-strain curve; defining variables and scaling factors related to root foundation design parameters; establishing functional relationships between root foundation design parameters and variables and between root foundation design parameters and scaling factors, respectively, and solving variable values ​​and scaling factor values ​​based on the established functional relationships; constructing P'‑y' Curve and M'‑ i 'Curve; based on the construction P'‑y' Curve and M'-θ The invention has the beneficial effects of improving the accuracy of estimating the horizontal bearing capacity of the root foundation and being applicable to the design of different parameters of the root foundation in actual engineering.

The invention relates to a system fault probability calculation method, which comprises the following steps of: acquiring fault modes of a system, and representing a system fault state as a binary vector containing all fault modes; for any fault mode, calculating the prior probability of the fault mode and the triggering probability of each detection node in the fault mode; based on the Bayesian theorem, according to the prior probability of each occurred fault mode contained in the system fault state and the triggering probability of each triggered detection node in each occurred fault mode, establishing a function relationship between the occurrence probability of the system fault state and the triggering state of each detection node; and obtaining the trigger state of each detection node, substituting the trigger state into the function relationship, and calculating to obtain the occurrence probability of the set system fault state.

The invention discloses an urban VOCs intensity calculation method and system, and belongs to the technical field of urban pollutant early warning. The method comprises the step of directly inverting the discharge of a target product according to the column concentration of the product by constructing a function relationship between the target pollutant and the product thereof. The HCHO is used as a photochemical product of the VOCs, and the HCHO and the photochemical product can establish a relation according to the yield and the atmospheric life, so that the emission of the VOCs can be directly calculated by utilizing the HCHO column concentration by improving a Gaussian fitting function and combining with a linear density distribution curve. According to the method, the emission load is effectively constrained, the VOCs diffusion plume released by the research area is effectively limited in the urban area, and the overestimation of a calculation result caused by the influence of a nearby interference source is avoided.

The present invention discloses a comprehensive assessment method for determining the impact of proximity construction on existing tunnels, comprising the following steps: Step S1, establishing an attribute set of the existing tunnel structure and the surrounding environment of the tunnel; Step S2, obtaining the value of each attribute in the attribute set under different proximity levels through numerical simulation, model testing, field testing, etc.; Step S3, fitting the functional relationship between each specific attribute and the proximity level; Step S4, standardizing the original functional relationship in combination with the hierarchical assessment standards of each attribute in the attribute set; Step S5, obtaining a comprehensive score using the hierarchical analysis method or other methods to complete the hierarchical assessment of the impact of proximity construction on existing tunnels. The present invention has diverse evaluation angles and a wide range of applications. It can comprehensively consider the impact of multiple attributes of existing tunnels under proximity construction and obtain an assessment system with unified evaluation standards, which has strong guiding significance.

The invention discloses a VCD file compression method based on a function relation, value prediction and bit plane recombination, and belongs to the field of file compression. According to the method, compression strategies are respectively designed for different parts such as the header information area, the node information area and the numerical value change area of the VCD file, so that the compression efficiency is improved. Meanwhile, by analyzing the function relation between the signals of the numerical value change area and combining the technologies of variable length coding, signal value prediction, bit plane recombination and the like, the compression rate is remarkably improved.

The invention provides a passenger vehicle pedal parameter optimization design method and system based on AR virtual verification, and relates to the technical field of whole vehicle optimization layout, and the method comprises the steps: setting a standard coordinate system of a driver seat; setting a distance arrangement range between the Y direction and the center line of the driver in the standard coordinate system; according to a set distance arrangement range, fitting a function relationship between the center point of the initial position of the Z-direction pedal of the coordinate system and the height and the seat height of the AHP point; based on the function relation between the center point of the initial position of the Z-direction pedal and the height and the seat height of the AHP point, the function relation between the pedal surface angle and the seat height is further fitted, and arrangement design of the pedal is completed; and carrying out AR virtual verification on the designed pedal arrangement, advancing an evaluated time node from an engineering sample vehicle stage to a design stage, and identifying and determining an optimal pedal arrangement scheme. The problem of relevance between the pedal and the human body is solved, and the time cost of arrangement design is reduced.

This invention proposes a seal testing method for marine rotary vane steering gears, specifically a run-in test for steering gear seals. This test measures the functional relationship between the wear of the seal structure or seal ring and the run-in time at different PV values, thereby indirectly verifying the seal's service life. This seal testing method can be used to establish a reliable seal testing platform, allowing for the study of seal reliability and durability under various seal structure types and materials, thereby ensuring the service life of the sealing device.

The present invention relates to the technical field of bridge engineering, and particularly relates to a parametric design method for a multi-pylon extradosed bridge for a high-speed railway. On the basis of a provided main span length sequence, a functional relational expression of related design parameters is established to obtain rational schemes for a side-to-main span ratio, a height-to-span ratio and a pylon-to-span ratio; and comprehensive comparison and selection are performed on the basis of a main bridge cost calculation equation and the technical difficulty of engineering, and the methods of normalization and weighted averaging are used to perform data processing, so as to determine optimal schemes. The advantages of the present invention lie in: a theoretical basis is provided during an overall scheme design, and subjective human decision-making is reduced, thereby improving the refinement degree and rationality of the design.

This invention provides a method and apparatus for measuring magnetic flux density using the resistivity of molten metal. The method includes: establishing a functional relationship model between the resistivity and magnetic flux density of a target molten metal at different temperatures; measuring the resistivity of the target molten metal in real time after heating it to a molten state in a high-temperature magnetic field environment; acquiring the measurement temperature of the target molten metal in real time using a temperature sensor in the same high-temperature magnetic field environment; the high-temperature magnetic field environment being a magnetic flux density range of 2~6T and an ambient temperature of 250~1500℃; and inputting the measured resistivity and measurement temperature into the functional relationship model to obtain the magnetic flux density corresponding to the high-temperature magnetic field. This invention enables direct measurement of magnetic flux density under extreme temperature and magnetic field conditions.

The present application relates to a nuclear reactor optimization method, apparatus, computer device, and storage medium. The method comprises: constructing a first objective function based on the optimization requirements for the nuclear reactor; constructing a second objective function including the intermediate characteristic variables based on the functional relationship between the intermediate characteristic variables and the optimization parameters, as well as the first objective function; probabilistically modeling the second objective function based on candidate nuclear reactor designs to obtain a probability distribution for the second objective function; and determining target values for the optimization parameters based on the probability distribution and the optimization requirements. By introducing intermediate characteristic variables, this method decomposes the first objective function for the optimization parameters into two relatively simple optimization problems: the functional relationship between the intermediate characteristic variables and the optimization parameters, and the second objective function for the intermediate characteristic variables, thereby shortening optimization time and reducing computational complexity.

A kind of modular operating arm collaborative driving control method for multiple linear drives belongs to mechanism system driving control field, it is characterized in that: analysis modular operating arm driving system, obtains the number of linear driver and actuation parameter;Select linear driver driving control parameter;Drive single linear driver to judge whether controllable actuation can be realized;If so, selected linear driver driving control parameter is used as the driving control parameter of all linear drivers;Set lower computer control logic;Planning trajectory;Establish operating arm kinematics model, obtain the functional relationship of driving control parameter and time;According to the functional relationship, the trajectory is converted into upper computer driving control program instruction to drive multiple linear drivers, complete preset trajectory task.This method can collaboratively drive and control multiple linear drivers of modular operating arm, greatly simplify the control method and process, and can be applied to the driving control of modular operating arm with multiple linear drives, and has strong versatility.

The invention relates to the technical field of metal material rolling, and provides a plate blank size optimization method and system for a wide and thick plate hot rolling process. According to the method, the shape change rule of the head, the tail and the edges after rolling is quantitatively described by constructing a yield prediction model of a rolled piece based on a plane shape model; establishing a function relationship by taking a broadening ratio and an elongation ratio as optimization variables and minimizing the loss amount of trimming and head and tail cutting as a target; and under the constraint of rolling mill equipment capacity, global optimization is carried out on the process parameter combination by adopting an inversion algorithm, and finally, the optimal slab size is derived through inversion. According to the method, conversion from experience judgment to scientific calculation is achieved, the yield potential is explored by precisely controlling the cutting loss source, the precision and efficiency of blank design are remarkably improved, and efficient and reliable decision support is provided for hot rolling production of wide and thick plates.