64results about How to "Simplify the modeling process" patented technology

The invention provides a frequency converter IGBT junction temperature prediction method based on a neural network, and relates to the technical field of neural networks, and the method comprises the steps: obtaining a circuit structure and operation parameters of a subway traction transmission system, and constructing a dynamic thermal network model; establishing a simulation working condition set, performing simulation to acquire a real-time parameter set, and establishing a sample data set after preprocessing; a neural network with multiple input layers is established, training is executed to construct an IGBT junction temperature prediction model, each input layer is mapped with a feature extraction sub-network, feature extraction is performed by using the feature extraction sub-networks, and neural network training is performed according to a feature extraction result; and performing data prediction by using the IGBT junction temperature prediction model, and establishing a junction temperature time sequence. The technical problems that dynamic changes of the junction temperature under complex operation conditions are difficult to capture in the prior art, and particularly when load fluctuation is large or multiple working conditions are switched, prediction errors of a traditional model are remarkably increased, and consequently the accuracy of junction temperature prediction is insufficient are solved.

The invention discloses a user-defined multi-dimensional analysis configuration method, system and equipment based on a constellation model and a medium, belongs to the technical field of data analysis, and aims to solve the technical problem that basic data such as dimensions, indexes and data models in multi-dimensional analysis are complicated to construct. According to the technical scheme, according to the method, the dimensionality, the index and the incidence relation between the fact table and the dimensionality table configured by the model table are imported, the mapping between the dimensionality tables is automatically imported into the correlation table, the attribute and the model relation, the model maintenance cost is reduced, and the model maintenance time is shortened; ordered model construction is realized through dimensions, indexes, fact tables, dimension tables, data models and self-defined multi-dimensional query, multi-fact-table dimensions screen application configuration scenes of reverse mapping of property of the fact tables, required indexes are flexibly selected from the fact tables through dragging operation, and according to a cascade mode of the indexes and the dimensions, the application configuration scenes of reverse mapping of property of the property of the fact tables are selected to be matched with the property of the property of the property of the property of the property of the property of the property of the property of the property of the property of the property of the property. And automatically screening out the generality dimension for display.

The invention discloses a structural dynamic response obtaining method for a fixed offshore wind turbine. The method comprises the following steps: establishing an initial finite element model according to related model data of a fixed offshore wind turbine to be tested, correcting the initial finite element model in combination with obtained actually measured modal parameters, and solving a vibration mode function based on the corrected finite element model; solving kinetic energy and potential energy of the to-be-tested wind driven generator structure; and according to the obtained structural kinetic energy and potential energy, a mass matrix, a stiffness matrix and a damping matrix are constructed based on an Euler-Lagrange equation and a basic kinetic equation, so that a dimensionality-reduced structural kinetic model of the offshore wind turbine is established, an inherent frequency value is obtained through solving, and the dynamic response is obtained. The method effectively overcomes the defects that a model is established depending on finite element software to solve the dynamic response in the prior art, and has the advantages that the modeling process is simple, the solving time is short, multi-field coupling load application can be met, and the control technology is easy to implement.

According to the fan model prediction control method and system based on Gaussian process error compensation, a complex mechanism model does not need to be depended on, the model output compensation amount is predicted in real time through the Gaussian model, dynamic correction is conducted on the model according to the model output compensation amount, the high dependence of a traditional method on the model precision is effectively overcome, and the accuracy of the model is improved. And the modeling process is simplified. The Gaussian model is used for predicting the future wind speed and the output compensation amount, the Gaussian model has the excellent nonlinear approximation capability, the future complex and changeable working conditions and system states can be accurately predicted, the effectiveness of the MPC control strategy is remarkably improved, and more accurate fan control is achieved.

The invention provides a direct comprehensive modeling method for a helicopter tail rotor / tail beam coupled substructure, which comprises the following steps of: constructing a blade model, and dispersing the blade model to obtain a mass matrix, a rigidity matrix, a damping matrix and a generalized force vector expression of a single blade; establishing a structural kinetic equation of the tail beam; and finally, according to the displacement boundary condition of the joint of each paddle and the tail beam, converting the paddle structure dynamic equation, and assembling the rigidity matrix, the damping matrix, the mass matrix and the generalized force vector of each paddle after conversion with the rigidity matrix and the mass matrix of the tail beam respectively to obtain the structure dynamic equation of the tail rotor / tail beam coupling system. And establishing a structural dynamic model of the tail rotor / tail beam coupling system. The method is simple and reliable in modeling process and high in universality, is not limited by the distribution type of the tail rotor, can be applied to the non-uniformly distributed tail rotor, and provides a new thought for coupling analysis of the tail rotor / tail rotor and rotor wing / fuselage of the helicopter, dynamic characteristic solving of the tail rotor and analysis of stability.

The invention discloses an LNG cold energy gradient utilization general modeling and optimizing method and system for multi-energy micro-grid energy management, and the method comprises the steps: considering the transfer coupling and loss of cold energy based on the gradient utilization purpose and equipment parameters, and building a utilization general model for each stage of the cold energy gradient utilization process; the method comprises the following steps: establishing a multi-energy micro-grid energy optimization model containing cold energy gradient utilization, and carrying out energy management cooperation on a cold energy gradient utilization link and a multi-energy micro-grid based on a multi-energy micro-grid architecture and distributed energy characteristics by taking system economic carbon reduction operation as an optimization target; and converting the energy optimization model into a two-stage stochastic optimization model based on multiple scenes and solving the two-stage stochastic optimization model according to the uncertainty of the source load and the operation characteristics of the multi-energy micro-grid equipment to obtain a multi-energy micro-grid energy management decision of cold energy gradient utilization. According to the invention, integration and collaboration are carried out on a universal model for gradient utilization of cold energy and energy consumption management of the multi-energy micro-grid, and an energy management decision with economic low-carbon property and high energy efficiency property is obtained through optimization.

The invention relates to a part turning method based on a software CAM milling module and application, and belongs to the technical field of turning programming. The part turning method comprises the steps that S1, a software CAD function is started, and a curve model of a part is established; s2, starting a software CAM function, selecting a plane milling mode, setting in the plane milling mode, and generating a tool path code; s3, post-processing the tool path code to generate a numerical control program; and S4, the numerical control program is modified, a part is clamped on a machine tool, turning is started according to the modified numerical control program, and the part is an unconventional curved surface part. According to the turning programming method, whether a modeling module or a machining module is adopted, parameter setting is simple, errors are not prone to occurring, programming work of the unconventional curved surface can be efficiently completed, and the accuracy of a program is guaranteed.

A coal slime flotation process control method based on a distributed pyramid dynamic Bayesian network comprises the steps that the coal slime flotation process is divided into three sub-processes, a global quality index variable and a local quality index variable are determined, and a global dynamic Bayesian network is established; key variables in the sub-processes are determined, correlation among the variables is analyzed, and process time delay in each process is determined; determining the number of time slices of the first layer of dynamic Bayesian network; performing structure learning, and establishing a network structure of a first layer of the model; combining the same nodes of adjacent time slices into one node, and constructing a second-layer dynamic Bayesian network structure; bayesian network parameter learning is carried out; actual working condition data information is collected, and when an abnormal working condition occurs, a sub-process causing abnormity is determined; a local pyramid dynamic Bayesian network is utilized to determine a root cause causing an abnormal working condition; making a control decision scheme according to the abnormal reasons, and eliminating abnormal working conditions; the method can eliminate abnormal working conditions in time.

A converter station AC filter group circuit breaker abnormal arcing modeling analysis method comprises the following steps: firstly, carrying out time mark alignment, amplitude calibration and filtering de-noising on wave recording signals such as AC bus voltage and filter branch current to obtain high-quality input data; then, combining a primary wiring diagram, enabling an alternating current system to be equivalent to an ideal power supply and series impedance, enabling circuit breaker arcing to be equivalent to arc resistance changing along with time, and constructing an equivalent circuit model comprising the power supply, the impedance, a capacitor, an electric reactor and dynamic arc resistance; establishing a state space equation according to a voltage and current constraint relation, and performing time domain solution by adopting a two-step two-order or three-order diagonal implicit Runge-Kutta method to obtain voltage and current responses of the whole process of the fault; on this basis, the arc resistance change is inversed according to the ratio of arc voltage to current, the current zero passage is identified through the resistance symbol change at adjacent moments, and the zero passage section is smoothed; and finally, the inversion result is verified again by means of the simplified equivalent model.

The invention belongs to the technical field of robot motion control, and relates to a motion error compensation method and system for a surgical robot, and the method comprises the steps: collecting, processing and analyzing the actual motion data of each constraint point and tail end point of a mechanical arm, comparing the actual motion data of each constraint point and tail end point with standard motion data, and calculating the motion error of the surgical robot. Obtaining constraint points and end points which are not in the error range; kinematic models are constructed based on the constraint points and the tail end points of the two mechanical arms, and real-time error compensation amounts of the constraint points and the tail end points are obtained; performing inverse kinematics solution on the corresponding real-time error compensation amounts of the constraint point and the tail end point of the corresponding mechanical arm based on the kinematics model to obtain an inverse kinematics solution result; the inverse kinematics solving result is converted into the corresponding control command, the corresponding action is executed based on the corresponding control command, the difference between the actual action of the mechanical arm and the action corresponding to the control command is reduced, and the surgical action execution precision is improved.

The invention relates to the technical field of weld joint dynamic modeling, in particular to a thin-wall shell weld joint dynamic modeling method based on a common shell unit, which comprises the following steps of: S1, dispersing the middle surface of a welding part by a global shell grid, and simulating a weld joint by using a CSE instead of a rigid connection unit; s2, simplifying the modeling process of the CSE by adopting a grid common node processing method; s3, constructing an interface shell unit to replace part of GSM on the two sides of the welding area, and achieving the grid consistency requirement; s4, the CSE welding seam modeling method is applied to welding of the thin-wall shell for dynamic simulation analysis; and S5, performing result verification and adjustment on the data obtained by simulation in the step S4. According to the method, the ISE unit is introduced to meet the grid consistency requirement of the non-matched connection interface; building a weld joint dynamic model based on a CSE and RE modeling method, and carrying out dynamic simulation analysis and experimental research; the problem that the finite element analysis accuracy is affected due to the fact that an existing connecting unit cannot accurately simulate the real characteristics of weld joints is solved.

The invention discloses an SAR intelligent refocusing method based on deep learning. The method mainly solves the problems that in traditional SAR image refocusing, phase error modeling is complex, the image resolution is low, and details are lost. According to the implementation scheme, the method comprises the following steps: acquiring a data set of an SAR pure image and a corresponding defocused image, and dividing the data set into a training set, a verification set and a test set; constructing a deep learning network comprising an encoder and a decoder; using the training set to carry out forward and back propagation iteration to train the network, and evaluating and updating model parameters on the verification set to obtain a trained network model; and inputting a defocused image in a test set into the trained network model, extracting image features through an encoder, and reconstructing a high-resolution image through a decoder to obtain a restored image result. According to the method, the deep features of the SAR image can be effectively extracted, gradient disappearance is relieved, features of different levels are effectively fused, the reconstruction quality and resolution of the SAR image are improved, the detail performance of the restored image is enhanced, and the method can be used for radar imaging and evaluation.

The invention discloses a wind power plant frequency modulation dynamic equivalent modeling method, device and equipment and a medium, and belongs to the field of power system planning operation. The method comprises the steps that working parameters of all wind turbine generators in the frequency modulation process are obtained and serve as training data for generating a Koopman operator; according to the training data, wind turbine generator dynamic characteristic identification based on a state space dimension raising mode is carried out, and a Koopman operator capable of reflecting a high-dimensional linear relation is obtained; based on the obtained Koopman operator, dividing the wind power plant into a plurality of machine groups by adopting a gap measurement method; and aggregating a plurality of units in the same unit group based on an invariant criterion of output characteristics of the units before and after equivalence. According to the method, the condition that the fans exit frequency modulation due to wind speed out-of-limit or other faults can be better identified, so that the grouping result is more accurate, the actual dynamic characteristics of the wind power plant can be more accurately reflected, the modeling and simulation process of the wind power plant can be simplified, each fan can participate in system frequency modulation more efficiently, and the system efficiency is improved. And the operation stability of the power system can be enhanced.

The invention provides a high-reliability power supply mode selection method for a power distribution network. The method comprises the following steps: establishing a quantitative evaluation index system comprising a grid structure, an equipment level, technical application and management capability dimensions; for each power supply wiring mode, an improved success flow method is adopted to calculate a reliability quantitative index of the power supply wiring mode according to a topological structure, a grid structure and equipment level parameters of the power supply wiring mode; meanwhile, based on the index system, the economic quantitative index of the power supply wiring mode is calculated by adopting a full life cycle cost method; extracting a forward index and a reverse index based on the reliability quantitative index and the economical efficiency quantitative index; constructing an improved CCR model of a data envelope analysis method, and taking the reverse index as input and the forward index as output to obtain a quantitative efficiency index; and calculating a comprehensive recommendation coefficient according to the quantitative efficiency index, and taking the power supply wiring mode with the highest comprehensive recommendation coefficient as an optimal power supply wiring mode. According to the method provided by the invention, the reliability and economy are integrated, and the optimal power supply mode is quantitatively recommended.

The present invention provides a spectral data processing method, system, medium, product and equipment for integrated modeling, belonging to the field of data processing technology. By combining a variety of preprocessing and wavelength selection methods, data utilization is maximized at different angles, and the prediction accuracy and robustness of the model are improved; through multiple first-level PLS models and different data processing strategies, the diversity and comprehensiveness of the model are improved, and the stability and adaptability are enhanced; the model building and verification process is optimized, and through automated preprocessing and wavelength selection, the present invention significantly simplifies the modeling process, reduces the experimental trial and error time, and improves the quality and fault tolerance of data processing; the present invention significantly improves the accuracy, robustness and adaptability of the model as a whole, and simplifies the modeling process and optimization process, providing an efficient and reliable solution for the field of near-infrared spectral analysis.

The invention discloses a compartment steady-state temperature field simulation method and device, a storage medium and a product. The method comprises the steps that a compartment three-dimensional model containing a complete passenger area and an air duct structure is constructed; performing gridding processing on the carriage three-dimensional model to obtain a carriage grid model; carrying out solving parameter setting on the compartment grid model; performing simulation calculation on the carriage network model after setting the solving parameters to obtain a carriage pressure field, a carriage speed field and a carriage temperature field; judging whether the compartment grid model is valid or not according to the distribution conditions of a compartment pressure field, a compartment speed field and a compartment temperature field; and whether the compartment refrigeration effect meets the requirement or not is judged according to the compartment temperature field. The evaluation efficiency of the compartment refrigeration scheme is greatly improved, the evaluation cost of the compartment refrigeration scheme is remarkably reduced, and the problems of long time and high cost caused by a trial-production mode are solved.

A method for generating typical watershed hydro-wind-solar hybrid scenarios based on an improved C-vine Copula model is proposed. First, based on long-term multi-energy complementarity requirements, multi-year runoff data from a power station and power output data from wind and solar power stations within the watershed are selected, outliers are removed, and missing values ​​are filled, completing data preprocessing. Next, runoff and wind / solar output are set as random variables, and nonparametric kernel density estimation is used to obtain the marginal distribution functions of each variable. Then, the improved C-vine Copula model is used to accurately characterize the spatiotemporal correlation between water, wind, and solar resources, deriving the joint probability distribution. Then, Latin hypercube sampling is used to collect uniformly random samples stratified, and K-means clustering is used to generate typical scenarios. Finally, the effectiveness of the scenarios is evaluated from the perspectives of temporal and spatial correlation and randomness. This technology can effectively address the randomness and complexity of water, wind, and solar resources, generating realistic typical scenarios, providing valuable reference for the planning and scheduling of watershed hydro-wind-solar hybrid systems.

This invention discloses a parametric design method for server racks, comprising: decomposing parameters based on an existing standard rack model to obtain the parameters required for building the rack model; dividing the required parameters into three groups: a total dimension parameter group, a dependent variable parameter group, and a default value parameter group; the total dimension parameter group and the server dimension parameters together form the independent variable parameter group; mapping and associating the dependent variable parameter group with the independent variable parameter group to obtain the calculation relationship between the dependent variable parameter group and the independent variable parameter group; and generating a three-dimensional model of the rack using software based on the parameter values ​​of the obtained default value parameter group, total dimension parameter group, and dependent variable parameter group. This invention simplifies the rack modeling process, saves manpower, and improves work efficiency.

The application discloses a hepatitis B diagnosis index extraction method based on blood detection and complex network resilience, first, collecting blood routine, hepatitis B five items, liver function examination, blood coagulation four items, hepatitis B virus quantification, alpha-fetal protein data of patients with chronic hepatitis B, cirrhosis and hepatocellular carcinoma after onset without treatment; then extracting 25 key indexes, reassigning each index according to the liver disease diagnosis standard treatment guide and Child-Pugh score; next, calculating the correlation between indexes and setting a threshold, respectively constructing the index correlation degree network of chronic hepatitis B, cirrhosis and hepatocellular carcinoma; calculating the average degree of the network; processing the data again and calculating the mean value, fitting with neural network dynamics to obtain the fitting error; obtaining the diagnosis interval corresponding to chronic hepatitis B, cirrhosis and hepatocellular carcinoma, which is used as the diagnosis index of hepatitis B patients. The method is simple and efficient in modeling process, and is beneficial to improving the utilization rate of medical resources.

The utility model discloses a parallel tail end multi-degree-of-freedom mechanical arm which comprises two groups of branch chains which are symmetrically arranged and fixed at two ends of a platform, each group of branch chains comprises a base, a first motor and a second motor are respectively arranged on two sides of the base, the first motor is connected with a first short connecting rod through a rocker arm, and the second motor is connected with a middle supporting piece. One end of the supporting piece is hung below the base through a support, the other end of the supporting piece is movably connected with the middle of the first long connecting rod, one end of the first long connecting rod is connected with the first short connecting rod, and the other end of the first long connecting rod is movably connected with the tail end platform. The other end of the second long connecting rod is movably connected with the tail end platform. According to the mechanical arm, the multi-degree-of-freedom parallel mechanical arm of the end effector can be achieved, and the problems that an existing parallel mechanical arm is complex in structure and high in control coupling degree, the degree of freedom of the end effector is limited, and installation and maintenance are difficult are solved.

The invention relates to the technical field of power grid faults, and discloses a fault state machine modeling method and a fault processing method based on a regular method.The modeling method comprises the steps that various fault states possibly existing in a power system are defined, and a self-healing strategy is associated; determining an event that may trigger a transition between the fault states; defining a transfer condition between the fault states; respectively designing regular expressions for the fault state, the event and the transfer condition; representing the regular expression in a graphic form, and constructing a self-healing fault machine state model; and carrying out accuracy verification on the fault machine state model. By using the self-healing fault state machine constructed by the invention, the fault state can be accurately identified, the self-healing process of the system is guided, the stability and reliability of the system are improved, the first-aid repair speed is improved when the low-voltage fault of the transformer area occurs, and the manpower is saved.

The invention discloses a power distribution and utilization system time-varying harmonic transfer relation evaluation method and system. The method comprises the following steps: constructing a relation between harmonic current and voltage of each frequency at a grid-connected port of power electronic equipment and a relation between harmonics of different frequencies of each node of a power distribution and utilization system; when the power electronic equipment connected to the nth node in the system injects harmonic current into the system, the harmonic voltage variation and harmonic current variation of each node in the power distribution and utilization system caused by the harmonic current are iteratively solved; establishing a harmonic transfer relation of each node of the power distribution and utilization system considering the harmonic time-varying characteristic; when any node injects time-varying harmonic current into the power distribution and utilization system, the time-varying rule of harmonic voltage and current of other nodes generated according to the frequency of the injected current and the harmonic current deviation generated when the node is influenced and responded by other nodes are determined. According to the invention, the problem of analysis of the influence source of the multi-node harmonic voltage when the multi-node harmonic current is injected at the same time is solved.

The invention relates to a common-mode current prediction method, a detection system, computing equipment and a medium. The common-mode current prediction method comprises the following steps: sleeving a magnetic ring on an electrically controlled direct current end and a three-phase end of an electric drive system to obtain a maximum external impedance, and then obtaining an equivalent common-mode current of the electric drive system when the maximum external impedance is set; enabling the electric control to be equivalent to a two-port model, and calculating a first equivalent noise source according to the maximum external impedance and an equivalent common-mode current of the electric control when the maximum external impedance is set; and under the condition that the magnetic ring is taken down and the electric drive system is provided with any external filter, predicting the common-mode current when any external filter is arranged according to the first equivalent noise source. By implementing the common-mode current prediction method provided by the invention, the problems of complex modeling and long modeling and prediction period in the prior art can be improved.

The present invention discloses a saltwater tide prediction method based on LSTM-GRU-CNN integrated model, and the method comprises the following steps: step 1, constructing a comprehensive data set; step 2, data preprocessing; step 3, constructing and training an LSTM-GRU-CNN integrated model; step 4, model testing and evaluation; step 5, saltwater tide prediction. The saltwater tide prediction method based on LSTM-GRU-CNN integrated model of the present invention solves the technical problems of large data demand and low prediction accuracy in the current saltwater tide prediction field. Compared with the currently commonly used numerical simulation methods, the method of the present invention has small data demand and simple modeling process, can realize accurate prediction of saltwater tide, improves the accuracy and efficiency of saltwater tide prediction, and has wide applicability and effectiveness.

The invention relates to the technical field of electrolytic copper foil production equipment, and discloses a tension roller tension calibration method and device and a crude foil engine, and the tension roller tension calibration method comprises the following steps: calibrating a torque-pressure conversion coefficient k; tension at the two ends of the tension roller is obtained, and the tension difference is calculated; according to the torque-pressure conversion coefficient k, the tension difference value is converted into the equivalent pressure difference needed by the two ends of the tension roller; according to the equivalent pressure difference, corresponding torque is applied to the two ends of the tension roller till the tension difference value is reduced to be within the threshold value, and balance tension calibration is achieved. By determining the torque-pressure conversion coefficient k, the torque of the driving assembly can be accurately converted into the pressure at the two ends of the tension roller, the corresponding pressure is applied to the two ends of the tension roller, and the tension difference value is reduced to be within the threshold value, so that the problem of imbalance of the two ends of the tension roller is accurately solved, copper foil wrinkling during equipment operation is avoided, and the product yield is increased; additional bending moment of the tension roller is eliminated, bearing abrasion is reduced, and the maintenance period is prolonged.

The invention relates to a two-dimensional curved surface workpiece machining system control method based on frequency domain data driving. The method comprises the steps that a two-dimensional curved surface workpiece machining system model is established; performing equal-interval frequency domain sampling on the established two-dimensional curved surface workpiece processing system model to obtain frequency response of the two-dimensional curved surface workpiece processing system; calculating a frequency domain estimation function of the system based on the set frequency domain decomposition order; initializing system input and output and ILC tracking errors, and setting error precision of the ILC tracking errors; calculating a frequency domain approximation error; selecting an ILC control gain; calculating a time-frequency control law based on a frequency domain estimation function of the system and ILC control gain; performing two-dimensional inverse Z transformation on the time-frequency control law to obtain system output; and when the error precision of the ILC tracking error is smaller than the preset error precision, iteration is stopped. According to the method, the problem of excessive dependence on a system model in the prior art is solved, the modeling process of a complex system is greatly simplified, and meanwhile, the control robustness and precision of a two-dimensional curved surface workpiece machining system are improved.

A method for evaluating common-cause failures of software in a digital instrumentation and control system of a nuclear power plant is disclosed. The instrumentation and control system includes at least two instrumentation and control platforms. The evaluation method includes the following steps: obtaining modeling input; calculating the probability of basic events used for modeling based on the modeling input; establishing a fault tree, which includes basic events; and using the fault tree and the probability of basic events to analyze the failure probability of the digital instrumentation and control system. For any instrumentation and control platform, the basic events include: inter-platform common-cause failure basic events, which are basic events of common-cause failures occurring between this instrumentation and control platform and other instrumentation and control platforms; and intra-platform common-cause failure basic events, which are basic events of common-cause failures occurring within this instrumentation and control platform. Inter-platform common-cause failure basic events and intra-platform common-cause failure basic events are mutually exclusive events.

The embodiment of the application provides a heterogeneous robot cooperation method, which is used for providing a modeling fast robot planning and control problem solution, comprising: training heterogeneous multiple groups of robots to cooperate by using a machine learning method, in the training process, the same group of robots share machine learning training parameters, and the same group of robots perform the same task; at least two robots in the heterogeneous multiple groups of robots satisfy: belonging to the same group of robots, and being heterogeneous robots with different performance parameters. Training the heterogeneous multiple groups of robots by using the machine learning method enables the heterogeneous multiple groups of robots to cooperate, compared with a solution of programming and modeling each group of robots one by one, the modeling process is simple, and a large amount of time is saved. Using the machine learning allows the existence of heterogeneity between different groups of robots performing different tasks, while allowing the existence of heterogeneity within the same group of robots performing the same task, so that the compatibility is better, and more complex tasks and environments can be coped with.

The application provides a non-load-bearing vehicle body frame torsional strength analysis method and system, which comprises the following steps: constructing a finite element model of a frame of a measured vehicle type based on a three-dimensional model of the vehicle type, performing simulation analysis on the finite element model, and obtaining unit torsional angle stress data of the frame; obtaining torsional angle combination spectrum data of a frame rear cross beam on a combined road surface according to a real vehicle road test; grouping parts of the frame according to material properties, matching the torsional angle combination spectrum data with the finite element model of the frame to simulate a frame fatigue test; and calculating fatigue damage values of each part of the frame according to the unit torsional angle stress data of the frame and the torsional angle combination spectrum data, until it is determined that any part fails according to the fatigue damage values. The application can preliminarily verify the torsional strength of the frame in the early stage of design and development, has high test accuracy, provides a reliable basis for frame development, shortens the test cycle and cost, and improves the research and development efficiency.

The invention discloses a design method of a disconnectable flight recorder destroy-resistant structure based on a multi-layer lattice structure, and relates to the field of shock-resistant structure design, comprising the following steps: designing a disconnectable flight data recording system destroy-resistant protective structure; designing a multi-layer lattice structure of a mechanical shell layer; establishing an impact numerical simulation model for the multi-layer lattice cell element structure, and verifying the axial compression performance of the structure based on an explicit dynamics method; a crushable foam model is adopted to simulate buckling deformation of the lattice structure, and protection structure impact simulation analysis is carried out to verify the overall impact strength of the recorder protection structure; a design variable is selected, a test design method is selected to establish a response surface agent model based on the simulation sample, and an optimization algorithm is selected to carry out impact resistance optimization design; the problem of crash protection of the separated flight data recording system is solved, the design and optimization of the shock-resistant protection structure of the separated flight data recording system are realized, and the method has a good engineering application prospect.