378 results about "Analysis software" patented technology

The invention discloses a power generation efficiency optimization method for a floating photovoltaic power generation system. The method comprises the following steps: analyzing the motion response of a floating body in a marine environment, and determining the boundary condition of the floating body swinging under the action of waves; based on hydrodynamic analysis software AQWA, a hydrodynamic analysis model of the floating body is built, and the pitching angle of the floating body is verified; in combination with an inclined surface irradiance calculation model, an improved particle swarm algorithm is adopted for optimization, and the initial inclination angle of the photovoltaic panel when the photovoltaic panel receives solar radiation energy to the maximum extent is solved; in combination with different wave conditions of a certain sea area, simulation software is used for performing dynamic simulation on the floating body and the assembly, the influence of different environmental conditions on the power generation efficiency is analyzed, and the effectiveness of the scheme is verified. According to the method, the optimal initial angle is determined by optimizing the initial mounting inclination angle of the assembly, fully considering the movement condition of the floating body under the action of waves and combining the influence of different wave conditions, the radiation quantity received by the assembly is maximized, and the defects in the aspects of laying design, dynamic adaptability and power generation efficiency in the prior art are overcome.

The invention relates to the technical field of geological reservoirs, in particular to a reservoir microcosmic connectivity characterization method based on pore throat boundary intelligent identification, which comprises the following steps of: performing threshold segmentation processing on a rock casting body slice by using image analysis software, and depicting partition images of pore throats and skeleton particles; based on the partition image, combining image analysis software to measure and extract the diameter, perimeter and area of the pore throat, and calculating quantitative parameters of the pore throat structure; constructing a one-dimensional Gaussian distribution model of the nuclear magnetic logging of the reservoir; based on a one-dimensional Gaussian distribution model, establishing a Gaussian collaborative factor for pore structure evaluation; based on the quantitative parameters of the pore throat structure and the established Gaussian collaborative factors, establishing a multi-factor evaluation mathematical method to establish a multi-element evaluation model of the pore structure; and performing multivariate nonlinear fitting on the porous structure multivariate evaluation model, the nuclear magnetic movable fluid saturation and the reservoir pressure measurement fluidity, and constructing a quantitative characterization model for characterizing the reservoir microscopic connectivity. According to the method, the microscopic connectivity of the reservoir can be accurately, rapidly and quantitatively evaluated.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention discloses an earth and rockfill dam three-dimensional seepage simulation and parameter inversion analysis method and system based on a finite element method, and relates to the technical field of seepage simulation and parameter inversion analysis of geotechnical engineering. Comprising the following steps: deriving an earth and rockfill dam unstable unsaturated seepage control differential equation based on a Darwest unsaturated seepage theory, solving the equation based on a finite element method, and developing a software platform HYDRO-GEO / S based on a Matlab programming language; establishing an earth and rockfill dam three-dimensional seepage finite element model; performing three-dimensional seepage calculation and seepage safety analysis on the earth and rockfill dam; and constructing a parameter inversion framework to obtain the hydraulic parameters of the material. According to the method, an unsaturated seepage theory and a finite element method are coupled, an ICSSA-RBF inversion framework is constructed, an HYDRO-GEO / S software platform is developed, and in combination with instance analysis, accurate simulation and safety evaluation of earth and rockfill dam seepage and efficient inversion of seepage parameters are achieved.

An assessment system can generate a software quality value based on testing results and analysis of a multitude of factors that impact a readiness evaluation. For example, the system generates a software quality score (e.g., an Applause Quality Score “AQS”) that enables development teams to understand the level of quality they are achieving for a given release and build-over-build. In various examples, the system generates a data-driven score to enable development teams or quality assurance teams to make decisions for when a build is ready for release. In further embodiments, the system can integrate user interfaces that present a software quality score in a user dashboard that is linked to version control systems. On review and acceptance of the score, a user can trigger the release of their new code or product.

The invention discloses an industrial measurement data intelligent analysis report generation method and system based on a large language model, and relates to the technical field of industrial measurement, and the method comprises a multi-source data and abstraction module which carries out the structural processing of original data DAT output by measurement analysis software; and the large language model service and interface module is used for submitting the PCT to a selected large language model LLM through a multi-model adaptation interface to execute semantic reasoning and output a structured text TXT. Structured analysis and semantic association modeling are carried out on original measurement data through multi-source data and an abstract module, when overall alignment deviation or local feature anomaly exists in the original data, a hierarchical dependency relationship between the data can be established through a semantic graph structure, a deviation transmission path is revealed, and the accuracy of the measurement data is improved. The large language model is analyzed in a unified data context, and the utilization depth of measurement data can be effectively improved, so that the accuracy and integrity of report analysis are improved.

The invention relates to the technical field of flight safety of civil aircrafts, in particular to a flight trajectory prediction method under the condition of air high-speed target hood perforation, which comprises the following steps: acquiring calculation coefficient parameter data of a target flight dynamics model, establishing a trajectory prediction framework based on a three-degree-of-freedom target flight dynamics model and target real-time flight data; the method comprises the following steps: performing numerical simulation on a flow field of a hood perforation area through fluid mechanics analysis software to obtain speed field and pressure field data, establishing a hood perforation flow field pneumatic analysis model by adopting a high-order polynomial fitting method, and calculating Mach number and pressure distribution after hood perforation; dynamically updating aerodynamic coefficient data and an aerodynamic parameter database; the speed and pressure distribution data are introduced into the three-degree-of-freedom target flight dynamics model for registration updating, a prediction track is obtained, the prediction precision is improved by 30%-50%, and especially under the condition of a large angle of attack, the prediction error is controlled to be within 5% from 20% or above.

The invention relates to the technical field of tunnel engineering, in particular to a tunnel lining long-term safety assessment method based on a PSO-SA hybrid algorithm, and the method comprises the steps: determining a surrounding rock creep constitutive model, and obtaining initial surrounding rock parameters through an inversion algorithm; the influence of a supporting structure on surrounding rock deformation is introduced, and corrected surrounding rock parameters are obtained to improve authenticity; based on the time-varying factors, the surrounding rock parameters and the lining parameters are iteratively updated, and long-term safety dynamic evaluation is achieved; inputting the iteratively updated surrounding rock parameters and lining parameters into numerical analysis software, and obtaining stress deformation characteristics of the lining structure through the numerical analysis software; according to the method, the long-term safety of the tunnel lining structure is evaluated according to the stress deformation characteristics and related specifications, a dynamic evaluation model which truly reflects the time-varying characteristics of the tunnel structure is constructed, qualitative leap in evaluation precision, reliability and foresight is brought, and a powerful technical guarantee is provided for long-term safety of an operation tunnel.

The invention discloses an AOI back inspection reflection inhibition method based on black flannelette pasting, and relates to the technical field of AOI detection, and the method comprises the steps: placing a to-be-detected silicon wafer on a silver gray aluminum material carrying platform; starting the AOI equipment to collect a background image; black flannelette is selected as a reflection inhibition material; black flannelette is attached to the center detection area of the silver gray aluminum material carrying table, and the light source perpendicular incidence area is of a double-layer structure formed by combining a bottom-layer reflective sticker and surface-layer black flannelette. After surface mounting is completed, the background image is collected again; and performing defect identification on the acquired background image, and outputting a detection report. According to the invention, through the physical light absorption characteristic of the black flannelette, the average gray value of the reflection area of the carrying platform is reduced, the high-intensity mirror reflection interference is effectively eliminated, the difference between the background gray level and the edge gray level of the silicon wafer after mounting is obvious, image analysis software can realize accurate edge searching by setting the minimum identification gray level threshold, and meanwhile, the edge searching precision is improved. The black flannelette can improve the background gray scale stability and reduce the interference of gray scale fluctuation on a threshold segmentation algorithm.

The invention discloses a six-dimensional force measurement matrix system and method for multi-terrain gait analysis of a humanoid robot. The system comprises a modular terrain simulation platform, a six-dimensional force measurement matrix module, a data acquisition and synchronization module and robot gait performance analysis software. The modular terrain simulation platform comprises a rigid leveling module, a slope module and a step module; the six-dimensional force measurement matrix module comprises a plurality of six-dimensional force measurement plates; the data acquisition and synchronization module acquires synchronous matrix data of each six-dimensional force measurement plate; and the robot gait performance analysis software calculates key kinetic parameters and time-space parameters and generates a comprehensive report. According to the invention, three terrains of a rigid flat ground, a slope and steps can be simulated, force and torque of the humanoid robot walking on the terrains are continuously and synchronously acquired through the measurement matrix, and comprehensive, real and accurate evaluation of gait functions is realized. And high-precision and multi-dimensional quantitative evaluation data are provided for gait control algorithm development, dynamic performance calibration and mechanical foot design of the robot.

The invention provides a rapid demolding method and system for a deep inner buckling position of an injection mold. The rapid demolding method comprises the following steps that a plastic part three-dimensional model is constructed through CAE mold flow analysis software, a deep inner buckling position area is recognized, an optimal demolding path is simulated, and a process database is generated. According to the invention, traditional mechanical core-pulling mechanisms such as pitched roofs and sliding blocks are abandoned, and a multi-physical field cooperation mode of air pressure assistance, ultrasonic vibration and intelligent temperature control is adopted, so that the mold structure is simplified, complex transmission components are reduced, the mold manufacturing cost is reduced, and the maintenance difficulty is reduced; the demolding parameters are dynamically regulated and controlled through the LSTM neural network, the demolding stroke is shortened in combination with the multi-field synergistic effect, the production period is remarkably shortened, and the large-scale automatic production requirement is met; through the local temperature field reconstruction softening material, the multi-dimensional force field dispersion demolding force and the residual stress elimination treatment, the stress concentration of the buckling area of the plastic part is reduced, the strain and deformation rate is reduced to 0.5% or below from 5%-8%, and the product yield is greatly improved.

The invention discloses an industrial network traffic anomaly detection and source tracing method, device and equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: converting a traffic data package of an industrial network into a process characteristic analysis software package, extracting a plurality of dimension statistical features from the process characteristic analysis software package, and storing the extracted statistical features in a database; converting the statistical characteristics of each dimension into table data; performing classification coding processing on connection behavior features in the table data to obtain a target coding result, normalizing statistical features to obtain a normalization result, converting time features to obtain a conversion result, obtaining a mixed feature vector, constructing a DAGMM model comprising a self-codec and a Gaussian mixture model by using an unsupervised mode, and obtaining a mixed feature vector; performing anomaly detection on the mixed feature vector to obtain an anomaly detection result; and if the traffic is abnormal, performing reverse decoding on the mixed feature vector by using a tracing algorithm to obtain a tracing result, thereby improving the efficiency of performing anomaly detection and tracing on the industrial network traffic.

The invention relates to the technical field of helicopter structure and function integrated anti-strike structure design, and particularly provides an integrated anti-strike plate parameter optimization method based on model analysis. According to the method, materials of the ceramic plate and the composite material plate are selected, iterative analysis and structural bearing performance analysis of the integrated anti-strike plate are carried out, static analysis software is adopted to carry out structural bearing performance analysis on the structure of the integrated anti-strike plate, and whether the design requirements of rigidity and strength are met or not is judged. The integrated anti-strike plate based on the titanium alloy honeycomb lattice structure form of the embedded ceramic plate and the composite material plate is reasonable and compact in structure, and the space efficiency can be effectively improved.

The invention discloses a manned space mission scene design and orbit analysis interaction method, which comprises the steps of S1, defining a space mission scene, and defining a mission target, a mission range and a mission constraint; s2, an MBSE model is constructed according to the scene, and modeling of a system architecture, function requirements and performance indexes is achieved; s3, generating an activity graph and an executable script based on the MBSE model, and establishing script execution logic; s4, starting simulation according to the activity graph and the script; s5, realizing linkage of MBSE simulation and track analysis software, and constructing a joint simulation environment; and S6, generating an orbit analysis scene in joint simulation, simulating a spacecraft trajectory, and generating a visual result and a parameter report. According to the method, a data link between the MBSE model and an orbit analysis tool is broken through, the problems of low manual construction efficiency, asynchronous parameters and insufficient verification are solved, the space mission scene design efficiency, model consistency and simulation reliability are remarkably improved, and effective support is provided for rapid design and optimization of complex manned space missions.

A computer-implemented system analyzes program and data flows in a software system comprising code written in multiple programming languages using a generative large language model (LLM) directed by programming-language-specific prompts. The LLM identifies functional components within the code, generating labeled graph nodes that include a node type, a node name, and dependency information. A graph construction computer system processes the labeled graph nodes to generate a directed graph, where nodes represent functional components and directed edges represent dependencies. The system stores the graph in a database and provides a web-based interface for visualization, allowing users to explore, query, and analyze program and data flows across the software system. The system enables automated, language-agnostic dependency mapping, facilitating software analysis, debugging, and modernization.

The invention discloses a mine earthquake risk main control factor analysis method based on rock stratum macro-microscopic numerical simulation. The method comprises the following steps: firstly, collecting a rock sample and testing to obtain microscopic rock mechanical parameters; secondly, constructing a standard sample model based on discrete element numerical analysis software, and performing heterogeneity parameter assignment on the standard sample model by utilizing a Weibull function in combination with fractal dimensions and mesoscopic rock mechanical parameters, so as to realize accurate matching of rock mass mesoscopic-macroscopic mechanical properties; the mesoscopic rock mechanical parameters are converted into macroscopic rock mechanical parameters for discrete element analysis according to the conversion relation between the rock quality indexes and the rock strength, and high-fidelity reconstruction of a discrete element macroscopic model is achieved; and subsequently performing an orthogonal test and range analysis to quantify the macroscopic heterogeneous main control factors, thereby realizing priority ranking of each macroscopic heterogeneous main control factor as a key disaster-causing factor. Simulation can be carried out under the condition of considering the rock stratum heterogeneity, the result fits the actual rock stratum condition, and data support is provided for subsequent mine earthquake risk prevention and control treatment on the rock stratum.

A system and computer implemented method to aid a user in making an informed decision by a user from one or more decision alternatives. The system and method generally is provided within an application hosted on an electronic device though companion applications in the form of a user portal and advisor / expert portal. Accordingly, users are able to solicit an advisor / expert for counsel on a various decision though the input of criteria related to the decision, wherein the application will control correspondence between the parties and provide quantitative and qualitative tools to aid in the user's analysis. The software can be hosted on a server and designed to enable effective communication between a user and one or more advisors. An artificial intelligence module can additionally provide decision alternatives based upon prior advisor feedback and analysis and user inputs.

The invention discloses a method for analyzing component difference between Maotai-flavor yeast and yeast-making wheat by using non-targeted metabonomics. The method comprises the following steps: S1, pre-treating a sample; s2, detecting each sample by adopting the combination of an ultra-high performance liquid chromatograph and a quadrupole time-of-flight mass spectrometer; s3, acquiring original data, performing peak extraction, peak alignment and normalization by adopting metabonomics data analysis software, and evaluating the overall difference and intra-group variation among sample groups by adopting principal component analysis; constructing a grouping discrimination model through discriminant analysis of an orthogonal partial least square method; determining differential metabolites of the two groups of samples by taking variable projection importance (VIP) greater than 1 and statistical significance P less than 0.01 as a primary screening standard and combining a secondary screening standard that the difference multiple log2FC greater than 2 is up-regulated and the difference multiple log2FC less than-2 is down-regulated; s4, performing compound structure and category annotation on the screened differential metabolites through a metabolome database; and performing pathway enrichment analysis by adopting a statistical test method, and determining a core metabolic pathway enriched by the differential metabolites.

The invention provides a laser chip temperature real-time measurement and defect detection system, which comprises an infrared thermal imager, a photoelectric detector, a temperature control platform and a main control computer, the temperature control platform provides a stable chip operation environment, the photoelectric detector detects the occurrence of early COD through the change of the reflectivity of a cavity surface, and the main control computer detects the defect of the chip. The thermal infrared imager captures thermal radiation signals on the surface of the chip in real time so as to monitor temperature distribution changes, judge the occurrence of dark line defects and position the dark line defects, the thermal infrared imager and the photoelectric detector are respectively connected with the main control computer, and signals and data are transmitted to the main control computer. And carrying out data processing and visualization by virtue of analysis software, and finally realizing accurate monitoring of the whole process of chip defects from early formation to evolution expansion.

The application discloses a kind of safety evaluation methods of wind turbine generator set, it is related to wind power generator technical field, including the monitoring data of generator blade, the monitoring data includes wind speed, turbulence intensity and temperature, the edge distribution of the monitoring data is coupled by mixed Copula function to the fitting of the monitoring data;According to the shape parameter of generator set, establish three-dimensional model, carry out a variety of scene simulation by analysis software, generate the maximum bending moment of wing root under different scenes, obtain the mapping relationship of scene-bending moment;Based on the mapping relationship of scene-bending moment.The method can more accurately capture the influence of environmental changes on blade bending moment by combining real-time monitoring data such as wind speed, turbulence intensity, temperature and aerodynamic principles, thereby significantly improving the accuracy of safety evaluation.

The invention provides a method and system for accessing a database interface layer through an SAS language based on C + + middleware. The method comprises the following steps that the C + + middleware is called to obtain SAS statements of SAS language analysis software originating from the C + + middleware; performing word segmentation identification on database information in the SAS statement, and calling a database connection module of the C + + middleware based on the database information to establish a database connection pool; identifying the SAS statement by using the C + + middleware and converting the SAS statement into a database recognizable statement; the C + + middleware is used for transmitting the database recognizable statements to the corresponding database through the database connection pool, the problem that in the prior art, SAS language analysis software cannot be directly and efficiently connected with a universal database is solved, and high-performance, high-reliability and safe data access can be achieved.

The application provides an intelligent parameterized UI generation system and method suitable for professional analysis software, receives UI requirements in the form of natural language or pictures through a user interaction layer, analyzes the requirements by an AI intelligent processing layer, and automatically generates an initial configuration file containing components, styles and logic in combination with a domain knowledge base and a reference style. A user can adjust and analyze the configuration file through a configuration editing and analyzing layer. A parameterized UI generation layer dynamically constructs UI components with tree hierarchical relationships based on the analyzed structured data, automatically configures interaction logic, data binding and professional field processing, realizes two-way synchronization of GUI and backend data, and finally outputs an interactive interface by a UI rendering layer. The application changes highly customized and fragmented UI development into an automated and standardized generation process, greatly improves development efficiency, guarantees the consistency of interface style and operation logic, significantly reduces maintenance cost, and enhances the flexibility of software function expansion.

The invention relates to a module and a method for the flexible execution of tasks concerning the provision of information related to a technical system equipped with system software. The module (1) according to the invention comprises an input interface (2) for inputting tasks, analysis software (3) for analyzing tasks entered via the input interface, an interface (4) to an LLM-based system for providing outputs initiated by a prompt and generated using internet information, and an interface (5) to the system software (6).The analysis software (3) is designed to analyze input tasks relating to the provision of information related to the technical system equipped with system software, to determine which information required for the completion of the respective task can be provided by the system software (6), and to access the LLM-based system for the provision of prompt-initiated outputs generated by Internet information for information required for the completion of the respective task that cannot be provided by the system software (6).

This invention provides a method for predicting the fiber orientation distribution of short-fiber reinforced resins, which enables structural analysis that simply considers the fiber orientation of the resin without performing flow analysis. [Solution] A method for predicting the orientation distribution of fibers contained in an injection-molded product of short fiber-reinforced resin having a skin layer and a core layer by simulation, comprising: an analysis model creation step of creating an analysis model for a virtual object using CAE analysis software based on the finite element method (S1); a step of performing a transient thermal analysis based on thermal analysis conditions including information on the gate position where the resin is injected, and predicting the flow direction of the resin from the heat flow direction obtained by the transient thermal analysis (S2, S3, S4); and a fiber orientation tensor calculation step of expressing the degree of flow direction orientation of the skin layer and the core layer with an algebraic relation, and calculating a fiber orientation tensor indicating the orientation state of the fibers by performing an algebraic operation based on the algebraic relation (S5).

This invention discloses a method for spatial gene identification and extraction based on social media text data, comprising the following steps: collecting online text data about a city, then preprocessing the data to obtain dataset D1; constructing a dictionary and vector space in analysis software, introducing an LDA topic model, and classifying the obtained dataset D1 into topics; merging synonyms in each topic, and performing synonym replacement in dataset D1 to obtain dataset D2; counting the co-occurrence frequency of keywords in dataset D2 and constructing a co-occurrence matrix M; and using a hierarchical clustering model to cluster the semantic network analysis results to obtain spatial combination patterns, i.e., spatial genes. This invention collects online text data about a specific city from multiple social media platforms, providing a practical technical means for urban researchers to identify urban spatial genes by obtaining rich, non-invasive data.

The invention provides a scientific and effective bore port flame evaluation method, which is characterized in that visible light radiation energy is used as an evaluation parameter, high-speed camera shooting testing and flame analysis software are combined, and a real-time flame sequence image is subjected to integral area calibration and gray processing, and the total energy radiated by the flame during the generation period is calculated, so that the evaluation accuracy of the bore port flame is improved. The barrel weapon bore opening flame evaluation method taking the visible light radiation energy as a standard parameter is constructed by taking the visible light radiation energy as three evaluation parameters, namely the visible light radiation energy, comprehensively reflecting the geometric dimension of the flame, the brightness of the flame and the duration time, so that the influence of a test environment can be eliminated, the bore opening flame can be comprehensively and accurately evaluated, and the harmful emission phenomenon can be effectively evaluated; therefore, powerful support is provided for construction of a propellant and charge comprehensive performance evaluation system.

The present application relates to a kind of nonlinear correction weld fatigue parameter acquisition method, the method includes the following steps: S01, by designing two kinds of boundary stress state sample of bending ratio r=0 and r=1 is carried out fatigue test, respectively obtains the load-life data under two kinds of stress states;S02, by strength test respectively obtains the load-displacement curve corresponding to two kinds of stress states, wherein, load-displacement curve is nonlinear;S03, the rigidity of stress state linear section is calculated according to the load-displacement curve of strength test, obtains the linear load-displacement curve based on the rigidity.The present application combines strength tensile test, and the principle of equal work is used to modify the nonlinear load of fatigue test process to linear load, to improve the precision of fitting weld fatigue parameter, while the final output is still S-N curve, can be conveniently applied in mainstream commercial fatigue analysis software, carries out engineering application.

The invention provides an evaluation method for rapidly predicting the formability of a plate. The evaluation method comprises the following steps: S1, preparing a standard dumbbell-shaped uniaxial tensile sample; s2, preparing a plane strain tensile sample; s3, performing uniaxial tension on the standard dumbbell-shaped uniaxial tension sample; s4, performing uniaxial tension on the plane strain tensile sample; s5, calculating abscissa and ordinate values of three key feature points in the forming limit curve according to the material thickness t, the first correction coefficient and the second correction coefficient; s6, correcting the numerical value of the ordinate in the key feature point by using the first correction coefficient and the second correction coefficient to obtain a corrected ordinate; s7, drawing a forming limit judgment curve; and S8, the forming limit judgment curve is input into finite element simulation analysis software. The method greatly improves the analysis efficiency and prediction precision of the formability of the sheet metal, is especially suitable for the occasion of forming analysis of metal sheet parts, and widely meets the application requirements of engineering practice and scientific research work.

The invention provides a fork lug type connector butt joint tolerance distribution method, belongs to the technical field of aeronautical manufacturing, and particularly comprises the steps that an assembly mathematical model of a fork lug type connector is imported into simulation analysis software, and then the assembly state of the fork lug type connector and the assembly state of a support lug type connector are integrally separated; the machining precision of butt joint holes of the fork lug type connector and the support lug type connector is input; performing rotation assembly iteration and translation assembly iteration on the model data generated by each simulation analysis software in sequence, and setting rotation assembly iteration times and translation assembly iteration times; rotation assembly iteration times and translation assembly iteration are carried out; after simulation is finished, a simulation result is output, data of the simulation result comprises a minimum containing value data set of each piece of model data, and the number of minimum containing values of each data set is equal to the number of the fork ear type connectors. By means of the processing scheme, the assembling quality and efficiency of the plug-in type connector are improved.

This invention discloses a psychological assessment system based on heart rate variability analysis, belonging to the field of medical data analysis and psychological assessment technology. It solves the problems of existing heart rate variability analysis being limited to physiological indicators and traditional psychological assessments lacking objective physiological support. The system is built on a B / S architecture, integrating two core modules: ECG data reception and recording, and graphical analysis reports. It collects raw ECG data via Bluetooth 4.0, automatically calculates core heart rate variability feature values ​​such as SDNN, LF, and HF, achieves hierarchical and quantitative assessment of heart rate variability, and generates integrated graphical reports. It also features dual-layer access control, encrypted data transmission, and backup and recovery functions. This invention achieves deep integration of physiological data and psychological assessment, improving the scientific rigor and accuracy of psychological assessments. The system is highly stable and adaptable, suitable for clinical psychological screening, employee psychological monitoring, and other scenarios. The corresponding product, "Heart Rate Variability Analysis Software," has obtained a Class II medical device registration certificate.