171 results about "Computational analysis" patented technology

The invention discloses a tire finite element modeling and multidirectional rigidity optimization method and system based on characteristic lines. The method comprises the following steps: extracting tire section characteristic lines from a three-dimensional digital model; introducing the tire section characteristic line into a finite element analysis environment, generating a three-dimensional tire geometric model by rotationally scanning the characteristic line, and performing grid division on the model; setting tire material attributes, performing zoning setting on the model according to a tire crown, a tire shoulder and a tire side wall, and setting tire thickness based on zoning; applying a constraint boundary condition at the center of the tire, and establishing a contact form of the tread and the ground; a progressive inflation pressure load is applied, the deformation state of the inflated tire is calculated, and longitudinal rigidity, radial rigidity and lateral rigidity calculation and analysis steps are set; the tire elasticity modulus and the cord fabric thickness are used as design variables, and an optimization algorithm is adopted to solve a multi-objective optimization function. The method has the advantages of being simple in modeling method and high in practical operability, the tire modeling threshold can be lowered, and the fund and time cost of refined modeling is reduced.

The present invention relates to the technical field of electrodeposition, and relates to a simulation method for flow field distribution and deposition morphology in ultrafast laser-assisted electrochemical deposition. The steps of the method comprise: constructing, in multiphysics simulation software, a two-dimensional axisymmetric multiphysics coupled field model for heat transfer, solid and fluid heat transfer, tertiary current distribution, and laminar flow; constructing a geometric model of a deposition cell and a substrate, and setting laser properties, material physical parameters, and electrodeposition properties in the multiphysics simulation software; constructing an ultrafast laser heat transfer model on the basis of a two-temperature equation; setting initial and boundary conditions of the ultrafast laser heat transfer model, and constructing an electrodeposition field; coupling the ultrafast laser heat transfer model with the electrodeposition field to construct an ultrafast laser-assisted electrochemical deposition model; delineating a grid; and performing calculation and analysis. In the present invention, ultrafast laser is incorporated to perform multiphysics coupling of a thermal field, a flow field, an electric field, etc., and a two-temperature equation and tertiary current distribution are incorporated to the model, thereby achieving the accuracy and comprehensiveness of prediction models.

A portable golf putting green putter multi-parameter intelligent training system is characterized by comprising a support (1) used for installing an electromagnetic induction type sensing device (2) and an electric control element and enabling the whole training system to be convenient to carry and move; the sensing devices (2) are installed on the two supporting legs of the support, and at least two sensing devices (2) are installed on each supporting leg; and the electric control element (3) is used for receiving the signal intensity and the time difference obtained by the sensing device (2), transmitting the signal intensity and the time difference to a computer system (4) in real time in a wired or wireless manner, calculating and analyzing the signal intensity and the time difference, displaying the speed and the angle of the push rod in real time, and comparing the speed and the angle with preset standard values, so that a coach or a practicer can improve the speed and the angle. The utility model has the advantages of simple structure, convenience in carrying, low cost and wide application range.

The invention discloses a computational analysis method applied to high-power power electronic networking equipment, and relates to the technical field of power systems. According to the method, broadband power grid impedance, equipment state and device working condition data are acquired through a sensing layer, and accurate input is provided through layered compression and priority transmission; the cooperative calculation layer introduces a power grid impedance correction coupling interference matrix, establishes an electrothermal coupling loss mapping relation, and realizes coupling interference quantification, loss real-time calculation and full life cycle prediction; the linkage optimization layer constructs a multi-objective optimization function, an optimal control parameter is solved through an efficient algorithm, and a segmented execution strategy is adopted to adapt to different working conditions; the closed-loop feedback layer collects operation feedback data, dynamically updates the model and optimizes the weight, and links fault black-start support and optimal power supply recovery path planning. According to the invention, multi-target collaborative optimization of system stability, operation efficiency, equipment service life and power supply reliability is realized, and technical support is provided for large-scale safe and efficient operation of high-power networking equipment.

This invention discloses a method for calculating the vibration response of a delaminated composite laminate, belonging to the field of structural defect calculation and analysis. The method includes: dividing the composite laminate with delamination defects into delaminated and intact regions based on the damage condition; decoupling the delaminated regions dynamically; describing the vibration characteristics of each component in both the delaminated and intact regions using elastic waves based on elastic wave propagation theory, and establishing vibration state vector expressions for each region; determining the compatibility relationship based on the displacement continuity and internal force equilibrium conditions at the coupling point between the delaminated and intact regions, and establishing structural dynamic equilibrium equations in wave space based on the boundary conditions of the composite laminate; solving the structural dynamic equilibrium equations to obtain the amplitudes of elastic waves of each order; and calculating the vibration response of each region of the composite laminate based on elastic wave theory and amplitude calculation. This invention solves the problem of low computational efficiency in existing methods.

The invention discloses an ALS prognosis evaluation system based on UBE2J2 gene methylation and expression level, and relates to the technical field of biomedicine and bioinformatics. Comprising a data acquisition module, a methylation detection module, an expression quantity determination module, a data preprocessing module, a preliminary survival analysis module, a multivariable Cox proportional risk model construction module, an individualized risk index calculation and grouping module and a visualization and clinical application module. By combining UBE2J2 gene methylation and expression quantity analysis, peripheral blood non-invasive detection, standardized experiment and computational analysis process and visual presentation, the method is technically and remarkably superior to the prior art, high accuracy, operability, repeatability and expandability are realized, and the method is suitable for large-scale popularization and application. And the technical defects of single molecular marker, complicated operation, inaccurate prediction and the like in ALS prognosis evaluation in the prior art are overcome.

A system for quantum-enhanced behavioral analysis and secure database operations includes an ACAARY Database configured to store and process quantum-verified data under multi-tiered access control; an AR Quantum Cyber-Micro Expressions System configured to analyze involuntary behavioral patterns in digital communications via computational analysis of user interaction data; AR Quantum Sequence Triplications with Quantum Operations comprising three-qubit verification circuits implemented on superconducting quantum processors that perform parallel artificial-qubit processing to achieve unbiased quantum supremacy; an AR Quantum Parallel Data Algorithm Structure and Method Specialized Encrypted Algorithmic Quantum Procedures configured to execute simultaneous perpendicular encryption processing with real-time transaction verification across multiple channels; an AR Helmsmen Quantum Transportation Management System with integrated digital licensing and frequency-based quantum routing protocols; and an AR Thermodynamics Devices System configured to perform thermal bonding and division operations while maintaining different temperatures within defined containment areas for material modification.

The invention relates to the technical field of artificial intelligence, and discloses an artificial intelligence-driven multi-modal data analysis method and system, and the system comprises a data collection module which is used for setting collection nodes and terminals, collecting multi-modal data and equipment operation parameters in real time, and carrying out the format conversion; the multi-modal fusion module is used for constructing a cross-modal semantic association model, processing space-time characteristics, fusing characterization characteristics and performing association simulation; the feature extraction module is used for constructing image, text and voice related extraction algorithms to obtain corresponding features; the comprehensive analysis module is used for carrying out correlation calculation on the features after standardization processing, and comparing and analyzing semantic consistency with a preset threshold value; and the grading processing module is used for combining context calculation analysis when semantics are inconsistent, and analyzing target scene performance after secondary comparison. The system and the method can effectively process multi-modal data, improve semantic analysis accuracy and efficiency, and are suitable for various scenes.

The utility model discloses a surface-mounted resistor CCD (Charge Coupled Device) detection device, which relates to the technical field of detection equipment and comprises a bottom plate, a control and calculation analysis unit, a feeding mechanism, a CCD detection camera, a discharging mechanism, a turntable and three supporting tables, the rotating disc is horizontally designed, the center of the bottom of the rotating disc is fixedly connected with the output end of the second motor, the edge of the rotating disc is rotationally connected with the bottom plate through a limiting piece, three through holes are evenly formed in the rotating disc, rotating shafts are rotationally arranged in the through holes, and a first motor is arranged at the position, corresponding to the through holes, of the bottom face of the rotating disc. According to the utility model, the CCD detection camera is used for shooting the surface-mounted resistor on the support table, and the support table can rotate by 360 degrees, so that the CCD detection camera can shoot and detect each side surface and upper surface of the surface-mounted resistor, the detection efficiency is greatly improved, the overall structure is simple, and the repair and maintenance are convenient.

The invention discloses a distributed photovoltaic power station intelligent safety operation and maintenance management system, and relates to the technical field of photovoltaic power station operation and maintenance, the system comprises a data acquisition module, a data processing module, a calculation and analysis module and a management execution module, and the calculation and analysis module comprises a component health sub-module, a potential risk sub-module and an operation and maintenance analysis sub-module. According to the invention, a comprehensive attenuation coefficient is output through the assembly health sub-module, a dust coverage rate and other multi-dimensional parameters are integrated to quantify an attenuation state, a fault risk index is output based on the potential risk sub-module through the potential risk sub-module, and parameters such as current fluctuation are fused to construct a multi-precursor early warning system. The operation and maintenance analysis sub-module integrates parameters such as a risk index and outputs an operation and maintenance priority index, and the three components cooperate to realize full-period quantitative management from attenuation evaluation, fault early warning to operation and maintenance decision making, so that the traditional limitation is broken through, and the evaluation accuracy and the operation and maintenance efficiency are improved.

The present application belongs to the technical field of nuclear power engineering design, and provides a nuclear power plant wind pipe support load automatic calculation and analysis method and system, comprising: obtaining data information of a nuclear power plant wind pipe; calling a corresponding three-dimensional support model in a preset wind pipe information library according to the data information of the nuclear power plant wind pipe; automatically calculating the wind pipe support load according to the three-dimensional support model; and automatically completing the mechanical analysis of the wind pipe support load according to the calculated wind pipe support load; the present application can realize the data information of the wind pipe support, automatically call the support model in the wind pipe information library to complete three-dimensional support modeling; according to the three-dimensional support model, the automatic calculation and automatic analysis of the wind pipe support load can be realized, the complex process of drawing, mapping, data extraction and coupling iterative calculation of the designer is cancelled, the cycle of mechanical calculation and analysis of the wind pipe support is shortened, and the accuracy of the calculation result is greatly improved.

A method for secure analysis of distributed data includes receiving a request from a user to perform a data analysis operation. The data analysis operation utilizes first data accessible by a first secure research environment and second data accessible by a second secure research environment. The method further includes authenticating the user at the first secure research environment and the second secure research environment, communicating a first query for the first data to the first secure research environment, and communicating a second query for the second data to the second secure research environment. The method further includes receiving, from a secure compute environment in communication with the first secure research environment and the second secure research environment, results from the data analysis operation.

The application relates to the technical field of circuit breaker detection, and specifically discloses a circuit breaker action characteristic detection system based on artificial intelligence, which comprises a data acquisition layer, a data preprocessing layer, a data analysis layer, a decision warning layer and a system management layer; the data acquisition layer is responsible for collecting the action characteristic parameters of the circuit breaker. Through filtering, normalization and feature extraction, the data quality and availability are improved, laying a foundation for subsequent analysis; the data analysis layer uses comprehensive calculation and analysis to evaluate multidimensional parameters in mechanical action, obtains a mechanical action state evaluation coefficient, and accurately grasps the operation state of the circuit breaker; the decision warning layer accurately determines the operation state and timely warns according to the evaluation result and a threshold value, helping operation and maintenance personnel to quickly respond; and the system management layer is used for dynamically optimizing a feedback determination threshold value, so that the overall scheme effectively improves the accuracy, reliability and intelligent level of circuit breaker detection, reduces fault risks, and guarantees the safe and stable operation of a power system.

This invention provides an analysis system, analysis program, and analysis method that enable more accurate evaluation of target data. [Solution] In the analysis system 0, the analysis device 1 includes an acquisition unit that acquires an analysis index that serves as an indicator in the analysis of the target of analysis and raw data of the target of analysis for the analysis index; a parameter estimation unit that estimates the parameters for each candidate distribution model of the distribution model of the data distribution of multiple targets of analysis based on the acquired data; a goodness of fit calculation unit that calculates the distribution goodness of fit for each estimated candidate distribution model of the data distribution of the target of analysis; a distribution identification unit that identifies a fitted distribution model that fits the data distribution of the target of analysis based on the distribution goodness of fit; a deviation calculation unit that calculates a theoretical value for the analysis index of the target of analysis based on the parameters of the identified fitted distribution model and calculates the deviation between the theoretical value and the actual value of the analysis index of the target of analysis included in the raw data of analysis; and an evaluation unit that evaluates the target of analysis based on the deviation.

The transparent soil embankment rigid frame pile displacement observation simulation test system comprises a model box, a soil body consolidation mechanism, a rainfall load simulation mechanism, a traffic load simulation mechanism, a light source mechanism, a shooting mechanism and a calculation analysis mechanism. And the settlement and displacement of the transparent soil embankment slope under the action of the composite load can be observed in real time. Wherein the rainfall load module can accurately regulate and control the rainfall intensity and the rainfall capacity; the traffic load module can simulate the size and frequency of a vehicle cyclic load; the laser slicing technology of the light source module and the high-speed imaging technology of the shooting module are combined, and the PIV technology of the calculation and analysis module is matched, so that the dynamic deformation field in the transparent soil can be obtained. The device fills up the blank that an existing transparent soil test lacks real engineering load simulation, provides experimental data closer to reality for research of slope stability, foundation settlement and the like, and has the advantages of being simple in structure, convenient to regulate and control and accurate in observation.

This invention discloses a method for calculating the vibration response of a delaminated composite laminate, belonging to the field of structural defect calculation and analysis. The method includes: dividing the composite laminate with delamination defects into delaminated and intact regions based on the damage condition; decoupling the delaminated regions dynamically; describing the vibration characteristics of each component in both the delaminated and intact regions using elastic waves based on elastic wave propagation theory, and establishing vibration state vector expressions for each region; determining the compatibility relationship based on the displacement continuity and internal force equilibrium conditions at the coupling point between the delaminated and intact regions, and establishing structural dynamic equilibrium equations in wave space based on the boundary conditions of the composite laminate; solving the structural dynamic equilibrium equations to obtain the amplitudes of elastic waves of each order; and calculating the vibration response of each region of the composite laminate based on elastic wave theory and amplitude calculation. This invention solves the problem of low computational efficiency in existing methods.

The application relates to a special device and method for detecting the magnetic field and temperature of a transcranial magnetic stimulation therapeutic instrument, wherein the special device comprises a bionic head model, a special support, a magnetic field measuring probe, a temperature measuring module, a device host, a control computer and a data line; the bionic head model is arranged at the bottom of the special support, the magnetic field measuring probe is arranged at the top of the special support, and the device host is connected with the magnetic field measuring probe, the temperature measuring module and the control computer through the data line. The method is characterized in that a bionic head model equivalent to the electromagnetic characteristics of the head is designed, the magnetic field in the space where the model is located and the temperature on the surface of the coil are measured, the magnetic field measurement results are calculated and analyzed, and the measurement results of the maximum magnetic induction intensity, the spatial magnetic field distribution, the output frequency, the stimulation pulse width and the coil surface temperature are obtained. The method is suitable for detecting and calibrating the core parameters in the research and development and clinical use of the transcranial magnetic stimulation therapeutic instrument, and ensures the safety and effectiveness of the transcranial magnetic stimulation therapeutic instrument.

The application provides an engineering carbon emission factor dynamic calculation and traceability analysis method and system, and belongs to the field of engineering construction. The method comprises the following steps: acquiring multi-source heterogeneous data of the whole process of engineering construction, and pre-processing the multi-source heterogeneous data to form a data set supporting knowledge modeling and calculation analysis; constructing a semantic knowledge structure of the carbon emission factor field of the whole process of engineering construction by using knowledge graph technology; dynamically calculating the carbon emission factor and correcting the weight; and visualizing the dynamic calculation result and the correction result to complete the dynamic calculation and traceability analysis of the engineering carbon emission factor. The application solves the deficiencies existing in the current carbon emission accounting system in the field of engineering construction.

The application provides a water quality short-term prediction method based on parameter perturbation-localized ensemble data assimilation, belongs to the technical field of water quality prediction, and is characterized in that: based on the water quality state and uncertainty of a hydrodynamic-water quality mechanism model at an initial time T1, an initial state vector is constructed and converted into an initial ensemble member to input the model; sensitive water quality parameters of the model are screened, the parameters are perturbed, and the parameter perturbation set is generated together with the model driving conditions, and then the parameter perturbation set is fused with the initial ensemble member to form a perturbation set; the perturbation set is input into the model to run to the T2 time, and a water quality prediction set is obtained; the observation data and error of the water quality at the T2 time are combined, and an EnKF or other ensemble data assimilation algorithm is used to calculate and analyze the set; finally, the analysis set is used to update the initial conditions of the model at the T2 time, the above steps are repeated, and the optimal estimation at each time is continuously output, so that the water quality short-term prediction is realized. The application can improve the water quality short-term prediction precision, save the calculation cost, accurately capture the spatiotemporal heterogeneity of water bloom, and has strong interpretability and generalizability.

The invention relates to the technical field of computational analysis model conversion, and particularly discloses a pile-soil interaction simulation conversion method from SACS to ANSYS, which comprises the following steps: analyzing an SACS file to extract model data, and classifying and storing the model data in a relational database; processing the extracted database, and performing unit conversion and curve data conversion; generating an APDL command stream for constructing an ANSYS model based on the processed database, and parameterizing to automatically construct the ANSYS model; and verifying the precision of the ANSYS model and iteratively correcting the model parameters based on the equivalent displacement until the result is within an acceptable error range. By adopting the method, high-fidelity conversion is realized, the conversion efficiency is improved, and the human error risk is reduced; an original verification and iterative correction mechanism ensures that the model conversion precision is reliable; the method is wide in applicability, and can effectively meet the conversion requirements of ocean engineering structure models comprising various soil, layered soil and complex pile foundation structures.

This invention belongs to the field of bioinformatics and relates to a method for predicting protein post-translational modifications based on multimodal deep learning. First, multimodal feature extraction is performed on the input protein sequence and 3D structural data to obtain sequence feature vectors and structural feature vectors. Second, a cross-modal attention mechanism and an adaptive gating network are used for feature fusion. Then, the fused features are combined with disease type information, and the predicted probabilities are fine-tuned using a disease-specific coding network. Next, a multi-task learning framework is used to predict the site probabilities of various protein post-translational modification types in parallel. Finally, gradient backpropagation is used to calculate feature importance, and a comprehensive report is output based on variation impact analysis. This invention achieves high-precision, interpretable, and disease-aware protein post-translational modification prediction, providing an important computational analysis tool for revealing the molecular mechanisms of diseases and discovering precise drug targets.

The application discloses a content recommendation method and device based on an IPTV interactive scene and a medium. Through a multi-dimensional three-dimensional perception network on a data collection layer, user description data corresponding to a target user is obtained; in a recall stage in a calculation and analysis layer, each dimension data in the user description data is processed through a double-tower model to obtain low-dimensional dense user and low-dimensional dense content feature vectors, and an initial screening related content item is obtained through a vector space approximate search algorithm; in a sorting stage in the calculation and analysis layer, a target content to be recommended is obtained through calculation and sorting by a reinforcement learning sorting algorithm module; an intelligent service matrix module in a recommendation engine service layer is instructed to optimize and process the target content to be recommended and feed back to the target user. The application solves the problems of new content recommendation difficulty, single and inflexible content recommendation and high calculation complexity, and improves the flexibility and diversity of content recommendation.

The invention belongs to the technical field of power system network security and smart power grid data analysis, and discloses a smart power grid alarm analysis attack detection method, system and device and a medium, and the method comprises the steps: carrying out the preprocessing of multi-dimensional time series data; performing parameter initialization on the graph neural network model; inputting the processed multi-dimensional time sequence data into the initialized graph neural network model for training to obtain a prediction result of the current alarm; performing calculation and analysis by using a dual mahalanobis distance mechanism to obtain dual-dimension mahalanobis distance representation; distinguishing normal data from attack data according to a preset threshold value; performing integration processing based on the attack data, the prediction result and the actual alarm data; analyzing and positioning by using an attention mechanism to obtain an attack source of the smart grid; and optimizing parameters for the initialized graph neural network model and the attack source, and adjusting a Mahalanobis distance threshold to obtain a final detection threshold. The model can adapt to a complex power grid environment and high-dimensional alarm data.

The invention discloses a KRAS protein conformation change simulation method and system based on multi-sample analysis, and belongs to the technical field of multi-sample analysis. The method comprises the following steps: collecting multi-sample molecular dynamics simulation data, calculating energy difference between conformations, and constructing an energy difference mapping matrix; then, based on a joint criterion of an energy difference mean value and an energy gradient change rate, a hierarchical clustering algorithm is adopted to divide a conformation energy space into a main steady-state region, a metastable-state region and a transition-state region, and a conformation hierarchical tree structure is formed; and extracting a key channel and a stable sub-state of conformation transformation according to the relationship between the energy fluctuation characteristics and transformation paths of various intervals, thereby realizing quantitative description and energy path identification of the KRAS protein conformation change. According to the method, dynamic conformation relations under different energy levels are effectively distinguished, a new calculation and analysis means is provided for conformation regulation and control and drug binding site recognition of a complex biomolecular system, and the method has the advantages of being high in accuracy, high in universality and good in expandability.

The invention provides a spatial transcriptome cell composition inference method based on graph contrast learning. According to the method, a cross-modal low-dimensional feature spatial data simulation module is constructed, single cell and spatial transcriptome data are respectively mapped to a potential embedding space, feature space difference is reduced through aligned distribution, and structural consistency of cross-modal data is enhanced; designing a double heterogeneous graph construction and potential relation learning module, constructing a feature heterogeneous graph of two cells and spatial points based on gene expression similarity, and capturing a high-level potential relation of spatial data in double graphs by adopting a meta-path potential relation reasoning strategy; and introducing a graph representation optimization mechanism based on structure contrast learning, maximizing the consistency of the cross-modal nodes in the embedding space, and obtaining a final cell composition inference result. The method realizes inference of spatial transcriptome data cell composition, can be used for cell space positioning and tissue microenvironment analysis, and provides a reliable computational analysis basis for related biomedical research.

The invention relates to an automatic analysis system and method for test data of sonic nozzle products, and belongs to the technical field of data processing. The method comprises the following steps: importing a test data file and displaying an original data curve; in the multi-mode data analysis mode, working conditions needing to be calculated and analyzed are selected; automatically calling stored historical parameter configuration; calculating parameters are manually adjusted; carrying out data processing and analysis by adopting an inflection point judgment algorithm based on dynamic threshold adjustment, inputting the obtained data into a correlation analysis model, and calculating to obtain a test data curve of each channel and a data correlation analysis result; the test data analysis curve and the data analysis result are visually displayed; and automatically generating a test report according to a preset template. According to the method, human errors in the data processing process can be eliminated, the visualization effect of the data is enhanced, the labor cost is reduced, and the working efficiency is improved.

The application provides an optimal design method of a floating wind power equipment tower, a storage medium and a terminal, comprising: initial parameter determination: determining tower fixed parameters and overall correlation parameters related to tower design; defining tower geometric configuration functions: tower diameter function D(H) and tower wall thickness function t(H), determining a design parameter set; constructing an optimal analysis calculation model of the tower: constructing a tower total mass calculation function, and obtaining a first optimization target obj1; iterative optimization based on a genetic optimization algorithm: initializing a population of the genetic algorithm, calculating and analyzing each individual in the population through the optimal analysis calculation model, judging whether the individual meets a high-quality judgment condition according to a calculation result, and obtaining a high-quality individual; obtaining new offspring individuals from the high-quality individual as parents, generating a new generation population, and processing again through the optimal analysis calculation model, completing multiple iterations, and obtaining an optimized design parameter set.

The invention belongs to the field of helicopter analysis and calculation, and particularly relates to a topological layout and display system for a helicopter analysis and calculation model. The system comprises a model topology conversion device and a model topology display device. The model topology conversion device converts a computational analysis model into a topological relation file and a layout file according to the computational analysis model input by a user and a preset helicopter topology layout definition file, then the topological relation file and the layout file are displayed through the model topology display device, and after the user drags a topological graph, the topological relation file and the layout file are displayed through the model topology display device. And reserving an operation result of the user to the user layout file.

The invention discloses a balance evaluation measurement sensing system based on FTIR and multi-modal AI analysis, and relates to the technical field of sensing equipment, the system comprises a platform body, an FTIR balance measurement unit, a double-path mirror image folding optical acquisition module and a calculation analysis unit; the sensing system is compact in structure and good in stability, supports multi-posture (standing / sitting) evaluation and can synchronously obtain high-resolution pressure distribution images of the two feet, the sensing system analyzes plantar pressure images based on an FTIR optical source by utilizing a calculation and analysis unit in combination with multi-modal artificial intelligence, and the sensing precision is improved. Precise identification and quantitative evaluation of scoliosis related somatosensory defects are achieved, and the defects that an existing balance sensor is large in size, insufficient in safety and the like can be overcome.

The invention provides a double-engine performance automatic test system and method, and the system comprises a pressure test management and control platform which is used for receiving a user instruction, arranging a test task based on test assets, and generating a task scheduling instruction; the pressure measurement execution engine is used for receiving the task scheduling instruction, applying pressure to a tested system, injecting a tracking identifier for a pressure measurement request in the pressure applying process, and generating a first performance data flow containing the tracking identifier and a corresponding transaction performance index; the collector cluster is deployed in the tested system and is used for collecting internal running state data of the tested system in real time and generating a second performance data flow containing a system observation index; and the streaming computation engine is used for receiving the first performance data stream and the second performance data stream in parallel and carrying out real-time association and computational analysis on performance indexes in the two paths of data streams based on the tracking identifier so as to realize cross-layer performance analysis and root cause positioning.