567 results about "Analysis software" patented technology

A method, computer system, and computer program product are provided for analyzing software applications for risk. Data is obtained indicating one or more components of an application and historical data relating to one or more previous versions of the application. The historical data is analyzed to identify one or more vulnerabilities present in the one or more previous versions of the application. A software bill of materials is generated for the application based on the one or more components of the application, wherein the software bill of materials includes risk metadata descriptive of the one or more vulnerabilities of the application. The risk metadata associated with the software bill of materials is analyzed to determine a risk score for the application.

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 provides a coaxial unequal force-based gas-containing coal and rock mass true triaxial indoor test method, which comprises the following steps of: preparing a sample, injecting CH4 into a confining pressure cavity, synchronously starting an acoustic emission device and a binocular miniature high-speed camera, and testing the gas-containing coal and rock mass true triaxial indoor test. Acoustic emission monitoring software and DIC analysis software are used for recording acoustic emission and strain field evolution data, stiffness loading systems in the sigma 1, sigma 2, sigma 3 + and sigma 3-directions are controlled through a controller and a servo valve, confining pressure is loaded in a force control loading mode, and sample data are processed and analyzed; according to the invention, the condition of unequal coaxial stress load in the free face direction in the mining process of an underground working face can be simulated, and the actual condition of a mine can be better reflected; a video probe side pressing plate is arranged, and a binocular miniature high-speed camera is embedded into the clamp, so that the structural change of a test surface in the loading process can be recorded in real time, three-way surface strain field dynamic monitoring is realized, and the change conditions of a crack field and a strain field of a coal sample under the gas-containing condition are better reflected.

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.

The invention relates to the technical field of battery testing, and provides a flow battery bipolar plate flow channel diversion performance testing device, which comprises an intelligent testing galvanic pile, which is composed of a plurality of detachable flow channel units, each flow channel unit comprises a bipolar plate and two flow channel frames, the flow channel frames adopt a modular design, and the flow channel units are connected with the intelligent testing galvanic pile; a plurality of micro pressure sensors, temperature sensors and flow sensors are embedded in the shell; the intelligent liquid path system comprises a plurality of independent liquid path circulating units, and each unit is composed of a liquid tank, an intelligent liquid pump, a liquid supply pipeline and a liquid return pipeline; a plurality of independent test chambers are arranged in the multifunctional shell, and a temperature and humidity control system and an intelligent drainage system are arranged in the shell; and the data acquisition and analysis system consists of a high-performance computer, a data acquisition card, a signal amplifier and analysis software. The problems that in the prior art, the local flow characteristic of the electrolyte on the surface of the carbon felt is difficult to accurately evaluate, and the requirement of optimizing flow channel design on refined data cannot be met are solved.

Systems, computer program products, and methods are described herein for generating alternative software configurations using advanced computational models for data analysis and automated processing. The present disclosure is configured to analyze a software configuration to determine a non-compliant software portion, wherein the non-compliant software portion comprises a mismatch between at least a portion of the software configuration and a compliance database. Further, the present disclosure is configured to receive a compliant software portion, wherein the compliant software portion is associated with the compliance database. Further, the present disclosure is configured to reconfigure, using an artificial intelligence model, the software configuration to include the compliant software portion, wherein reconfiguring the software configuration comprises modifying the software configuration to comply with the compliance database. Further, the present disclosure is configured to deploy an updated software configuration, wherein the updated software configuration comprises the compliant software portion.

The invention discloses a 3D printing self-adaptive wing design method based on generative artificial intelligence, and relates to the crossing field of 3D printing and artificial intelligence. In order to solve the technical problems of complex manufacturing, low reliability and large weight of a traditional process in the prior art, the technical scheme provided by the invention comprises the following steps: pre-training a large language model to obtain a trained basic model; receiving self-adaptive wing structure design parameters input by a user and generating a design scheme script; calling three-dimensional modeling software, automatically establishing a wing three-dimensional model based on the design scheme script, and outputting a model file; calling simulation analysis software, performing wing performance simulation analysis based on the model file, and outputting analysis result data; and calling the basic model to carry out design scheme evaluation and iterative optimization based on the analysis result data until an optimized model file meeting the design requirement is generated. The method can be applied to intelligent design and automatic manufacturing of self-adaptive wing structures of aerospace crafts.

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 belongs to the technical field of soil research equipment, and aims to solve the problem of measurement errors when a time domain reflection device is used for measuring the ice content of soil. The invention provides a method and a device for testing the ice content of a soil body based on an electrochemical impedance modulus value. The method comprises the following steps: setting test parameters of the ice content of the soil body through an electronic computer; a temperature control device is used for adjusting and controlling test conditions of the soil body sample, and a control module drives the temperature control device to perform stepped cooling on the soil body sample; applying a disturbance signal to the soil body sample through the test module, and synchronously collecting a response signal sent by the soil body sample; calculating an experimental value of an electrochemical impedance module value by using electrochemical impedance data analysis software, fitting by combining with the temperature signal to obtain a fitting value of the electrochemical impedance module value, and substituting the value and the initial water content into a soil mass ice content calculation model to obtain the ice content of the soil mass sample. According to the invention, the ice content of the soil body can be rapidly and accurately calculated based on the chemical-electrochemical impedance modulus value.

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 discloses a bridge service state monitoring and early warning method based on machine vision, and the method comprises the steps: firstly building a bridge numerical model through numerical analysis software, and then arranging a sensor to recognize the information of passing vehicles; before monitoring is started, a standard vehicle is selected and passes through a bridge along the center line of each lane, and the influence surface of each feature point is established by recording the vertical displacement of the feature point in the vehicle driving process; according to the vertical displacement influence surface of each feature point of the bridge and the identified vehicle information, calculating the vertical displacement of each feature point by using a superposition method; and finally, calculating the correlation between the actual measurement response and the theoretical value, and when the correlation of more than three feature points is lower than 95%, triggering an alarm to remind passing vehicles. According to the method, piezoelectric sensing and machine vision technologies are fused, and accurate inversion of vehicle loads and real-time evaluation of bridge structure states are realized through axle coupling dynamic response analysis and a data dual criterion mechanism.

The invention provides a cooling fan performance calculation method based on multi-physics field coupling. The cooling fan performance calculation method comprises the following steps that a parameterized geometric model of a fluid domain is established according to the size and the relative position of an engine cooling fan and a wind chamber test bed; respectively inputting the two parameterized geometric models into pretreatment software, respectively carrying out grid division on the two parameterized geometric models by using a grid division tool, and outputting a grid file after geometric discretization of the two parameterized geometric models; the discrete grid file of the engine cooling fan is imported into finite element analysis software, a pretreatment tool is used for defining material parameters for the engine cooling fan, boundary conditions and load constraints are applied, the discrete grid file of a fluid domain is imported into fluid dynamics analysis software, and fluid dynamics analysis is carried out on the engine cooling fan; setting a turbulence model, region and boundary conditions, a solver and the like; establishing a multi-physical field coupling model to realize data exchange among a plurality of physical fields; and operation calculation is carried out, a calculation result is post-processed, and qualitative and quantitative analysis is carried out on the fan performance.

The invention provides a bridge design method and system based on pushing displacement and rigidity inversion, and belongs to the technical field of bridge design. A theoretical formula among the axial force of each span of steel box girder, the displacement of each pier and the anti-pushing rigidity of the piers under the condition of system temperature change after each pushing in the walking pushing construction process is deduced, and actual monitoring data of the beam length change of the steel box girder in the walking pushing construction process are combined; numerical analysis software is used for carrying out inversion analysis on the anti-thrust stiffness of each pier, the curve trend of the anti-thrust stiffness changing along with the temperature difference under the theoretical condition is obtained, the theoretical analysis of the influence of the system temperature effect on the longitudinal bridge direction in the walking incremental launching construction process is perfected, and data support is provided for implementation of measures such as pier stiffness adjustment and displacement release in the follow-up process; by calculating the sparse parameters of the missing data, the adaptability to unbalanced data and the data noise redundancy are higher, and the method is suitable for missing data supplementation in the field of bridge design which is susceptible to natural factors.

The invention belongs to the technical field of pavement monitoring methods, and particularly discloses a distributed optical fiber permanent deformation monitoring method for an asphalt pavement under a moving load. The method comprises the following steps: laying a single-mode optical fiber in a test piece; laying a full-bridge strain gauge in the test piece; monitoring an optical fiber vibration signal of the test piece during the movement of a test wheel and a strain change of the test piece during the movement of the test wheel in real time through a strain acquisition instrument; processing the optical fiber vibration signal and the strain change by using matlab data analysis software; analyzing the data change trend according to the processed optical fiber vibration signal and the strain change, and establishing a mathematical relationship between the two; and according to the mathematical relationship, distributed monitoring of the permanent deformation of the asphalt pavement under the moving load by the optical fiber vibration signals is realized. By the adoption of the bituminous pavement distributed optical fiber permanent deformation monitoring method under the moving load, real-time, dynamic, large-range, long-distance and high-precision monitoring of bituminous pavement permanent deformation is achieved, and the defects in the prior art are overcome.

A heart treatment system is disclosed capable of diagnosing one or more critical regions of interest for a biological rhythm disorder by sensing signals from biological tissue. If a critical region is not present at the current location of sensed signals, the system is capable of indicating a guidance direction in which to navigate to reach one or more critical regions. Ablation energy is delivered to treat said region of interest. Signals are again sensed and analyzed to assess the impact of treatment. This process is repeated until all critical regions of interest are treated. In some embodiments, all functionality is provided by a single sensing and treating catheter with display device and analytical software.

Systems and methods are disclosed for detecting code injection vulnerabilities in software systems. In embodiments, an injection string is created to implement an exploit against a software system. The exploit includes an unauthorized executable code that will generate an easily detectable token if executed by the software system. The string is injected into the software system during execution to simulate a code injection attack on the software system. The software system's execution result is obtained and analyzed to determine whether the execution detection token was generated. If so, the software system is proven to be vulnerable to the attack, and the vulnerability may be indicated in an alert or a report. The vulnerability detection technique may be for both software under development as well as production software systems running in the wild to analyze and monitor these systems for code injection vulnerabilities.

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 discloses a membrane pollution state evaluation method, device and equipment of a membrane bioreactor and a medium, and relates to the technical field of membrane method water treatment.The membrane pollution state evaluation method comprises the steps that membrane pollution monitoring index data of the membrane bioreactor are periodically collected, and a periodic time sequence data set used for analyzing and evaluating membrane pollution changes is generated according to the membrane pollution monitoring index data; analyzing the membrane pollution monitoring index data in the periodic time sequence data set according to a preset pollution evaluation rule to determine an index evaluation value corresponding to a membrane pollution monitoring index in the membrane pollution monitoring index data; and determining the pollution state of the membrane bioreactor according to the index evaluation value. Therefore, by analyzing the membrane pollution monitoring data, the membrane pollution potential and state change are mastered, the membrane system operation condition adaptability is evaluated, the reversible membrane pollution degree change and the irreversible membrane pollution degree change are distinguished, special data processing and analysis software does not need to be developed, and the low cost and the reliability, stability and accuracy of the monitoring data are ensured.

The invention relates to a multi-signal fusion real-time deduction method for three-dimensional wave parameters along with a ship, and a deduction device consists of a state sensor, a one-way stress sensor, a vertical acceleration sensor, a shunt, a terminal junction box, a signal acquisition instrument, a host, analysis software, a signal transmission cable and the like. The deduction method comprises the processes of system state matrix discretization, transfer function calculation, Kalman filtering deduction model construction, convergence analysis, result comparison and the like, and three-dimensional time-frequency parameters of waves are deduced in real time through fusion analysis of ship motion and actual measurement data of a key position stress response sensor. Real-time information of surrounding waves can be provided for more sailing ships, more comprehensive reference basis can be provided for ship sailing and ship type optimization, and the method has practical significance and market value.

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 a method for depicting the boundary of a sedimentary system through a heavy mineral combination based on an intelligent sensing system, and relates to the technical field of geological exploration, and the method comprises the steps: obtaining the heavy mineral content data of a sedimentary rock sample collected by a target layer section and a peripheral exposed section of the target layer section in a research area through the intelligent sensing system; carrying out statistics on the contents of various heavy minerals in the collected samples, calculating the percentage of each heavy mineral, and carrying out data arrangement to form a data table; and importing the heavy mineral content data into data analysis software, carrying out Q-type clustering analysis, and classifying according to the similarity between samples. According to the method, the heavy mineral content data of the sedimentary rock sample is obtained through the uniformly distributed sampling points, compared with traditional single-point sample analysis, the spatial distribution characteristics of a material source system in a research area can be more comprehensively reflected, the boundary of a sedimentary system can be accurately divided, the recognition precision of sedimentary facies distribution is improved, and the analysis accuracy of the sedimentary facies is improved. And more detailed basic data are provided for geological research and resource exploration.

The invention relates to a multi-system collaborative building energy-saving reconstruction method, which comprises the following steps of: establishing a Revit model for a building by using modeling software, importing building Revit model data into energy consumption analysis software Energylus through data conversion, and carrying out energy consumption simulation analysis on the building Revit model data; then, energy-saving transformation is conducted on the building from the three aspects of a building envelope, a lighting system and heating and cooling, the energy-saving effect of corresponding measures is analyzed by comparing data obtained through simulation before and after transformation, and data support is provided for energy-saving transformation of the building; an electric equivalent resistance-capacitance network model of the building is further established, the indoor temperature of the building is predicted and controlled, and the control effects and energy consumption saving conditions of the model prediction control method and the PID control method are compared; the method has the advantages of being high in energy-saving control precision and good in energy-saving effect in the whole process of modeling, simulation, transformation and control of building energy-saving transformation.

The invention discloses a metal internal characteristic selective extraction method, which comprises the following steps of: (1) scanning a block-shaped metal sample by adopting high-resolution X-ray CT (Computed Tomography), reconstructing characteristics including defect distribution, microstructure, holes and cracks in metal through a three-dimensional reconstruction algorithm, and generating a high-precision three-dimensional model; (2) selecting a required area, calculating voxel resolution according to the distance SDD between a radiation source and a detector and the distance SOD between a sample and the radiation source, displaying a reconstructed three-dimensional image in three-dimensional visual analysis software, and performing threshold segmentation through a computer vision algorithm, and automatically identifying and extracting required features for observation; the whole sample is placed in a square frame in an externally tangent form, and a Cartesian rectangular coordinate system is established. According to the invention, after the internal structure is observed by using the X-ray microscopic imaging technology, an interested area is selected for extraction by using linear cutting according to the three-dimensional structure information, and the internal defect of the sample can be efficiently and accurately positioned and extracted.

A method for designing and optimizing the flow channels of a liquid cooling plate based on topology optimization, which relates to a method for designing and optimizing the flow channels of a liquid cooling plate. In order to solve the problem of how to improve the temperature consistency of the battery module, reduce the temperature difference of the battery module, and reduce the flow channel pressure drop effect by performing topology optimization on the flow channels of the liquid cooling plate in the battery module, the present invention constructs a design domain of the liquid cooling plate using the solid heat transfer physical field in the physical field simulation software based on the geometric parameters of the liquid cooling plate, controls the changes of the entity and the flow channel by the material phase change amount in the calculation domain to determine the thermal conductivity, interpolates the thermal conductivity using the SIMP interpolation model, and establishes a flow channel topology optimization mathematical model with the minimum average temperature in the design domain as the objective function and the volume fraction as the constraint condition according to the control equation and performs topology optimization; then performs 3D modeling and tests the heat dissipation performance of the topology optimized flow channel for the battery pack, designs using experimental design and data analysis software, and performs multi-objective optimization.

The invention discloses a building updating design method based on digital integrated modeling and a virtual reality interaction platform, which forms a point cloud model by means of a digital information acquisition technology for indoor and outdoor scanning of an old building, and assists professional modeling software in rapid modeling, so as to improve the modeling efficiency. The generated model can be effectively in butt joint with building design and transformation and related technical data analysis software in an ideal city building intelligent modeling and VR display experiment platform, follow-up research work or deepening creation work is carried out, finally, finished product resources in various forms of pictures, videos, panorama, roaming and VR are published, building site live-action experience is created, and the development and development of the ideal city building intelligent modeling and VR display experiment platform is facilitated. Multi-party intelligent interaction is realized; through the assistance of a digital information acquisition technology, more intelligent surveying and mapping and more efficient modeling are realized; on the basis of a reality model, a design model and technical data, a whole-process optimization drilling platform under building updating and reconstruction is formed; multi-party intelligent interaction with multi-element interaction and real-time sharing is realized, and the directness and high efficiency of public communication and multi-party conversation are improved.

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 provides an automatic software testing method combining natural language processing (NLP) and natural graphics processing (NGP). According to the method, a demand document is analyzed through NLP, key functions are extracted, test case description is generated, meanwhile, a software user interface is recognized and analyzed through NGP, interface elements and interaction logic are extracted, and an interface model is constructed. And automatically generating a test case and a script based on a demand analysis and interface modeling result, executing, recording and analyzing a test result through an automatic test framework, identifying defects, and proposing optimization suggestions. Experiments show that the method can significantly improve the test coverage rate and efficiency, and is suitable for automatic testing and complex interface interaction verification in a continuous integration environment. Through combination of NLP and NGP, intelligence and automation of software testing are realized, and the method has a wide application prospect.

The invention relates to the technical field of roller press main roller simulation, in particular to a parameterized simulation method and system for the radian of a roller press main roller and a storage medium. The method comprises the following steps that surface space scanning is conducted on a main roller of the roller press, and main roller space parameters are obtained; main roller radian distribution evaluation is conducted according to the main roller space parameters, and a main roller radian distribution diagram is obtained; carrying out regional division on the main roller radian distribution diagram, and importing mechanical analysis software to construct a roller press main roller initial state model; rolling material data are obtained; performing material-main roller stress parameterization simulation according to the rolled material data and the roller press main roller initial state model to obtain simulated main roller stress state data; and intelligent main roller bending compensation is carried out based on the simulated main roller stress state data, and main roller bending compensation parameters are obtained. Intelligent compensation of the radian state of the main roller of the roller press is achieved through main roller stress parameterization simulation, the product quality is effectively improved, energy consumption is reduced, and the service life of equipment is prolonged.