12results about How to "Realize quantitative calculation" patented technology

The application belongs to the technical field of application software development test, and discloses an application software development test system with real-time vulnerability detection, which comprises a code real-time collection module, a multi-dimensional vulnerability detection module, a vulnerability accurate positioning module, a vulnerability risk quantitative evaluation module, a dynamic repair guidance module, a data storage module, a visual interaction module and an iterative optimization module, and each module cooperates to form a whole-process closed-loop vulnerability detection and management and control system. The application software development test system with real-time vulnerability detection is adopted, real-time capture, accurate positioning, risk evaluation and dynamic repair suggestion output of the vulnerability are realized, and the software development test efficiency and application program security are improved.

This invention provides a quantitative calculation method for reservoir throat length based on constant-rate mercury intrusion porosimetry (CRMP) experiments, belonging to the field of oil and gas field development data information processing technology. The method includes: calculating the endpoint values ​​of the mercury intrusion intervals of each throat level based on CRMP experimental data; determining the mercury intrusion saturation of each throat level based on the endpoint values ​​of the interval radius and the mercury intrusion curve data determined by CRMP experiments; obtaining the mercury intrusion volume of each interval based on the calculated mercury intrusion saturation and the pore volume of the rock sample; calculating the mercury intrusion volume of a single throat interval using the interval mercury intrusion volume and the number of throats; and finally, quantitatively calculating the length of each throat level based on the throat radius. This invention provides a quantitative calculation method for throat length, offering a new technical approach for determining reservoir throat length and providing strong data support for research on reservoir throat length and its variation patterns, reservoir throat geometry, and reservoir throat network simulation.

According to the method for calculating the fortified length of the cross section expanded section of the strike-slip fault tunnel and the related equipment provided by the invention, through fitting processing of the axes of the tunnels on the two sides after fault dislocation, accurate quantitative characterization of the axis form after dislocation is realized, and basic data support fitting an actual engineering scene is provided for fortified length calculation. The section expanding sections are symmetrically arranged in an extending mode with the section face as the center, full-coverage protection of a fault dislocation influence area is guaranteed, and the problem that local protection is lost possibly due to single-side fortification is avoided. The calculation logic combining the axis fitting and the clearance requirement breaks through the limitation that an existing engineering category method depends on experience judgment, quantitative calculation of the fortification length is achieved, it is guaranteed that the anti-dislocation performance of the tunnel meets the clearance requirement, construction cost waste caused by the too large fortification length can be avoided, and the method is suitable for popularization and application. And a foundation is laid for smooth fitting of a post-earthquake tunnel axis and rapid recovery of functions.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel soft rock large deformation assessment method based on multi-source parameter analysis, and the method comprises the steps: firstly constructing an assessment model based on a grey clustering theory, and carrying out the preliminary risk classification of tunnel surrounding rock; after a tunnel face is revealed through tunnel excavation, apparent characteristic data are quantitatively collected, a comprehensive score is calculated, and an apparent large deformation level is determined; meanwhile, a BP neural network model optimized through a particle swarm optimization algorithm is utilized, and the cumulative deformation of the surrounding rock is predicted based on multi-source input parameters; calculating a strength-stress ratio by combining ground stress and rock mass strength data actually measured on site, verifying and correcting the preliminary grade, and determining a final comprehensive large deformation grade; and finally, mapping the grades into support parameters, and executing dynamic adjustment based on monitoring data. According to the method, through the fusion of theoretical calculation, field quantitative scoring and intelligent prediction, accurate judgment and closed-loop control of large deformation of the soft rock are realized, and the construction risk is effectively reduced.

The invention discloses a method for quantifying impact force at an outlet of a back cavity of a vehicle-mounted open subwoofer, and relates to the technical field of vehicle engineering, and the method comprises the steps: constructing an acoustic simulation model, building a computational domain comprising a structural domain, an internal fluid domain and an external fluid domain, and generating a grid; setting medium parameters and boundary conditions, and applying excitation to a loudspeaker diaphragm; solving a sound field based on an acoustic control equation, and calculating a particle velocity vector by using a momentum conservation principle; extracting the maximum airflow velocity value of the section of the outlet of the inverter tube in a preset frequency range as a key quantitative index; and converting the index into a dynamic pressure load or a matching arrangement database, and outputting arrangement guidance data. According to the method, the acoustic simulation data are converted into the hydrodynamic indexes, so that quantitative evaluation of the airflow impact force of the inverter tube is realized, the arrangement design of peripheral parts is effectively guided, and abnormal sound and structural failure risks are avoided.

The application provides a traffic carbon flow network diagram drawing method based on vehicle network road pile data fusion, comprising the following steps: acquiring multi-element heterogeneous data of new energy vehicle network road piles in a traffic network; establishing a traffic carbon emission calculation model of new energy vehicle network road pile cooperation according to network segment division and vehicle classification; and calculating traffic carbon emissions in combination with the multi-element heterogeneous data of the vehicle network road piles; based on the traffic carbon emission calculation model, a traffic network carbon flow area model is established; and based on the traffic carbon emission calculation model and the traffic network carbon flow area model, a traffic carbon flow network diagram containing new energy vehicle network road pile information is drawn by using the gomphus energy distribution method. The application can solve the problems of difficult tracking and quantification of automobile carbon emissions in the traffic field, and unclear carbon peak path, and can directly show the traffic network carbon footprint tracking process, carbon flow trend and traffic network electrification level by drawing the traffic carbon flow network diagram containing new energy vehicle network road pile information by using the gomphus energy distribution method.

The invention discloses a physical protection internal personnel reliability assessment method, management method, device and system. The method comprises the following steps: acquiring an index system for personnel reliability assessment; performing pairwise comparison on the N personnel evaluation dimensions to evaluate the relative importance degree between the dimensions to obtain a first judgment matrix, and performing pairwise comparison on a plurality of reliability elements under each personnel evaluation dimension to evaluate the relative importance degree between the elements to obtain a second judgment matrix; determining a first weight of each personnel evaluation dimension according to the first judgment matrix, and determining a second weight of each reliability element according to the second judgment matrix; determining an element score of each reliability element according to the personnel information of the to-be-evaluated personnel; determining a dimension risk value of the personnel evaluation dimension according to the element score of each reliability element and the second weight; and determining a reliability risk value of the to-be-assessed person according to the dimension risk value of each person assessment dimension and the first weight. And the evaluation accuracy is improved.

This invention belongs to the field of paleogeographic restoration technology in geological exploration, and discloses a method and system for river paleoslope restoration based on the combined use of well and seismic data. The method determines the underwater specific gravity based on sediment mineral composition; determines the ratio of surface friction shear velocity to particle settling velocity based on median grain size; calculates dimensionless grain size, settling velocity, and particle Reynolds number based on grain density, fluid density, grain diameter, and kinematic viscosity; obtains the point dam thickness from well logging curves, and obtains the initial full-bank depth after decompaction correction; obtains the paleochannel width from seismic data, corrects the initial full-bank depth, and obtains the full-bank depth of the river channel; and calculates the river paleoslope based on underwater specific gravity, median grain size, full-bank depth of the river channel, the aforementioned ratio, and dimensionless parameters. This invention achieves quantitative calculation of deep-time river paleoslope, significantly improving the accuracy and reliability of the assessment, and solving the problems of traditional methods relying on qualitative reconstruction, difficulty in data acquisition, and high computational costs.

The application discloses a quantitative analysis method for steam turbine unit based on dimension reduction parameter reconstruction of a hash function, relates to the technical field of power machinery fault diagnosis, and solves the technical problems that dimension reduction is not thorough enough when high-dimensional data space of a steam turbine unit is reconstructed in parameters, and a quantitative function relation between a health factor and a health state of the steam turbine unit is not constructed.The technical scheme points are that a relation between dynamic change characteristics of working condition fingerprint time series information entropy and a system health factor is analyzed in depth, a health factor degradation law of a whole life cycle of the steam turbine unit is revealed, a working condition fingerprint complexity entropy increase formation mechanism of the steam turbine unit is revealed, a health factor quantitative evaluation model of the steam turbine unit is established, health factor quantitative calculation of the steam turbine unit is realized, and the application problem of PHM technology in engineering equipment such as the steam turbine unit is solved, so that scientific basis and technical support are provided for research work in the field of quantitative maintenance and health management of the steam turbine unit.

The present application relates to the field of hydraulic engineering, specifically to a large vertical pump water guide bearing and sealing device test platform and test method. The test platform comprises a variable frequency motor, a pump shaft, a water guide bearing installation cavity, a sealing water tank, a runout and bearing gap adjustment device and a sensor group. The variable frequency motor is coaxially connected with the pump shaft through a shaft coupling. The pump shaft is sequentially sleeved with a thrust bearing component, a shaft end sealing device, a guide bearing component and an impeller. The sealing water tank is in communication with an external circulating water system. The present application can simulate various real machine operating conditions, realize integrated performance testing of the water guide bearing and the sealing device, and accurately locate and quantify the sealing leakage source, thereby providing reliable data support for selection, structure optimization and installation process standardization of core components of large vertical pumps.

This invention relates to the field of computer technology and discloses a personnel allocation decision-making method, system, electronic device, and storage medium based on working hour data. The method includes acquiring working hour data, classifying and structuring it, and performing multi-dimensional statistical analysis on the classified working hour data to generate a working hour distribution map; calculating the maximum number of personnel at full capacity based on the total annual working hour demand and the standard working hours available per person per year; acquiring data on the difference between actual working hours and statutory standard working hours, as well as unused leave, and calculating the equivalent personnel shortage based on an overtime compensation model; establishing a resource balance model that includes constraints such as shift work, skill level matching, time period distribution, and management redundancy, calculating the resource balance coefficient, and correcting the maximum number of personnel at full capacity to obtain an executable personnel allocation base; and determining the personnel allocation plan by combining the equivalent personnel shortage, the personnel allocation base, and future working hour demand. This invention can improve the executability of personnel allocation decisions.

The invention relates to an optic nerve multi-mode image prognostic marker extraction method. The method comprises the following steps: acquiring optical coherence tomography, magnetic resonance imaging and retina electrophysiological data; the inter-modal signal-to-noise change rate is calculated based on the covariance of the regional signal-to-noise ratio, a signal collaborative change region is identified according to a multi-modal noise non-mean fitting error function, and a signal stable coupling region is constructed; calculating the consistency deviation rate of the modal structure, identifying a local area of abnormal splitting of the cross-modal structure, and mapping the local area to corresponding modal original data; calculating the time point difference spectrum skewness of the follow-up visit image sequence of the same tested object, identifying a nonlinear mutation time point, and determining a prognosis event candidate area; respectively calculating a cross entropy approximate value of each modal response, determining a modal redundancy penalty index and a marker exclusive information density, and screening marker feature points with low redundancy and high contribution degree; and calculating a posterior condition transition probability, generating a potential association path of the marker, and judging a structure degeneration direction and a prognosis risk level.