23results about How to "Realize quantitative calculation" patented technology

The invention discloses a device for determining jointed rock sample crushing energy consumption in an SHPB test and a using method thereof.The device comprises a protection box, the protection box is cylindrical, a cavity is formed in the center of the protection box, holes connected with an incident bar and a transmission bar are formed in the front end and the rear end of the protection box correspondingly, the holes communicate with the cavity, and a plurality of mounting holes are formed in the peripheral face of the protection box in the circumferential direction; a rigid rod is slidably connected into the mounting hole, one end of the rigid rod is located in the cavity and arranged relative to the jointed rock sample, the other end of the rigid rod is located on the outer side of the protection box and connected with a shape memory alloy, one end of the shape memory alloy is connected with the peripheral face of the protection box, the heating device is connected with the protection box, and the 3D scanner and the infrared thermal imager are arranged relative to the protection box. In the process that the jointed rock sample is impacted, fragments impact the rigid rod to enable the shape memory alloy to deform, and meanwhile, the infrared thermal imager is adopted to obtain temperature change in the protection box, so that kinetic energy and dissipated heat energy of ejection of the fragments of the jointed rock sample can be accurately obtained.

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 present application provides a reliability evaluation method and device for a smart electric energy meter, the method comprising: obtaining sensitive data characteristics and multiple quality characteristics for evaluating reliability; obtaining multiple test items and corresponding test results corresponding to each quality characteristic; determining a first measurement value of each quality characteristic according to the test results; screening out sensitive test items from multiple test items, and calculating a second measurement value of the sensitive data characteristics according to the test results corresponding to the sensitive test items; calculating a target measurement value of reliability according to the first measurement value of each quality characteristic and the second measurement value of the sensitive data characteristics; performing reliability evaluation on the software of the smart electric energy meter according to the target measurement value of reliability, and obtaining the software reliability level of the smart electric energy meter. By adding the calculation of sensitive data characteristics to the reliability calculation, the sensitive data is prevented from affecting the reliability evaluation result, thereby effectively improving the reliability of the smart electric energy meter software evaluation.

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 present invention discloses a method for optimizing the bending angle of a puncture needle, S1: segmenting the liver blood vessels by a threshold segmentation method in a CT image; S2: constructing a puncture plane; S3: marking the position of the puncture needle tip; S4: drawing the initial shape of the puncture needle; S5: judging whether the puncture path coincides with the initial shape trajectory of the puncture needle, and if not, proceeding to the next step; S6: adjusting the position of the puncture needle after bending so that it coincides with the entry point and the exit point; S7: marking the position of the puncture needle in the puncture plane, drawing a puncture path diagram, judging whether it conforms to the vascular structure, and determining the optimal bending angle. Combined with the patient's three-dimensional anatomical model of the liver blood vessels, the bending angle of the puncture needle is adjusted based on the entry point, exit point and bending point, which effectively solves the uncertainty of the bending angle of the puncture needle required for different patients, realizes the quantitative calculation of the bending angle of the puncture needle, and helps to reduce the difficulty of surgery, shorten the operation time, and improve the success rate of clinical operations.

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 invention relates to the technical field of oil-gas exploration and development, and provides a resource abundance evaluation method and device for shale heating products. The method comprises the following steps: determining a pre-exponential factor calculation model influenced by different heating rates and different fluid pressures on the basis of the quantity of each product generated when the unit mass convertible organic matter is heated to each preset temperature under each preset heating rate and each preset fluid pressure condition, wherein the quantity of each product is obtained by carrying out a heating simulation experiment on a plurality of shale samples; according to the method, the reaction rate and the conversion rate of each product are further obtained, and the resource abundance of each product which can be extracted in unit area under different heating rates and different fluid pressures is calculated based on the conversion rate of each product, so that quantitative calculation of the resource abundance of each product under different heating rates and different fluid pressures can be realized; and the calculation precision of the resource abundance is ensured, the classification evaluation problem of different products in shale in-situ conversion development is solved, and a basis is provided for predicting the oil and gas resource quantity and development of different types of products.

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.

The invention relates to a flood discharge deep hole control system health degree judgment method based on an entropy weight method. Influence factors of the health degree of a flood discharge deep hole control system are determined; constructing an influence factor index data matrix, and carrying out dimensionless processing on influence factor index data; calculating the weight of the influence of each influence factor index on the health degree of the flood discharge deep hole control system by adopting an entropy weight method; determining positive and negative ideal solutions of various influence factor indexes; calculating the health degree of the flood discharge deep hole control system according to the distances from the positive ideal solution to the negative ideal solution, constructing an optimal hyper-sphere model of the flood discharge deep hole control system, and calculating the health degree, namely a health degree threshold value, of a data sample in an optimal hyper-sphere upper critical state. Whether the flood discharge deep hole facility control system in the real-time working condition is in the healthy state or not is judged according to the health degree of the flood discharge deep hole facility control system, the flood discharge deep hole facility control system in the unhealthy state is overhauled and maintained, and it is ensured that the flood discharge deep hole facility operates healthily, safely and stably.

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 invention relates to the technical field of system-level task guarantee, and provides a system supportability parameter set construction and comprehensive evaluation method and device, and a medium, which can complete system supportability parameter set construction and system supportability comprehensive evaluation. The method comprises the following steps: firstly, analyzing system composition, an internal cross-linking relationship and a system task guarantee process, secondly, carrying out hierarchical division on the system, identifying system supportability characterization key parameters step by step according to the system hierarchy, and finally, completing system supportability parameter set construction from the perspective of the whole system, the whole process and the whole characteristics. According to the method, top layer indexes are transmitted from top to bottom, the guarantee capacity is aggregated from bottom to top, and quantitative calculation of system guarantee evaluation is achieved based on system guarantee evaluation steps and evaluation models integrating an analytic hierarchy process and a grey correlation method.

The invention discloses a bending angle optimization method of a puncture needle. The bending angle optimization method comprises the following steps: S1, segmenting liver blood vessels from a CT image through a threshold segmentation method; s2, constructing a puncture plane; S3, performing site marking on the head end of the puncture needle; s4, drawing the initial form of the puncture needle; s5, whether the puncture path coincides with the initial form track of the puncture needle or not is judged, and if not, the next step is executed; s6, the position of the bent puncture needle is adjusted, and the bent puncture needle is made to coincide with the approach point and the exit point; and S7, marking the position of the puncture needle in a puncture plane, drawing a puncture path diagram, judging whether the puncture path diagram accords with a vascular structure or not, and determining an optimal bending angle. The bending angle of the puncture needle is adjusted on the basis of the approach point, the exit point and the bending point in combination with a liver blood vessel three-dimensional anatomical model of a patient, so that the uncertainty of the bending angle of the puncture needle required by different patients is effectively solved, quantitative calculation of the bending angle of the puncture needle is realized, the operation difficulty is reduced, the operation time is shortened, and the operation efficiency is improved. The success rate of clinical operation is improved.

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 invention discloses a soil pollution analysis method and system based on an industrial park, and relates to the field of environmental protection. The method comprises: collecting soil environmental information of a target area in a soil environmental information database, screening the soil environmental information according to a preset risk screening model, setting sampling parameters, sampling according to the sampling parameters in combination with the screening results through a corresponding sampling method, obtaining sampling results, performing pollution analysis on the sampling results according to preset pollution factors, and classifying pollution risk levels according to the pollution analysis results combined with preset risk factors, assigning corresponding preset treatment plans to the target area according to the pollution risk level classification results, realizing investigation and evaluation of the soil environmental risk status of a typical industrial park dominated by in-production enterprises, and providing countermeasures and suggestions for soil environmental management departments.

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.

The invention discloses an underground space geometric profile fine measurement and evolution process monitoring device which comprises a depth winch, a calibration short section, an adjusting cable, a measurement short section, a transmission cable and an industrial personal computer. The invention further discloses an underground space geometric contour fine measurement and evolution process monitoring method. The technical problems of underground space geometric contour fine measurement and evolution process monitoring are solved, the laser technology and the visual technology are combined, fine imaging of the underground space internal geometric contour is achieved, quantitative calculation and visualization of the geometric contour size are achieved in combination with the precise positioning technology, and the measurement precision of the underground space internal geometric contour is improved. Geometric contour information of an underground space can be rapidly captured, and measurement and monitoring of a geometric contour can be realized.

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 discloses a glass fiber reinforced plastic connecting piece mechanical performance online detection method and device, a medium and a product, and relates to the field of nondestructive detection.The method comprises the steps that a GFRP connecting piece sample is obtained; carrying out mechanical accelerated aging and acoustic emission loading tests with different time lengths on the GFRP connecting piece sample, and acquiring a characteristic acoustic signal by utilizing an acoustic emission sensor; determining the bending strength of each GFRP connecting piece sample after the test; constructing a mechanical strength model of the glass fiber reinforced plastic connecting piece according to the residual mechanical strength and the corresponding characteristic sound signal; acquiring a real-time characteristic acoustic signal of the GFRP connecting piece in a working state by using an acoustic emission sensor; and determining the real-time residual mechanical strength by adopting a glass fiber reinforced plastic connecting piece mechanical strength model according to the real-time characteristic sound signal and the corresponding borne load. The mechanical performance of the GFRP connecting piece can be detected in a lossless, time-saving and real-time manner in the equipment operation process, and the health state is evaluated.

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.

The utility model discloses a pulse-type driving power supply of a 222nm KrCl excimer lamp, which is characterized in that after alternating current and direct current power supply passes through a rectifier filter, the rectifier filter is electrically connected through a primary boosting assembly to provide stable direct current secondary high voltage to be stored in an energy storage capacitor, and the stable direct current secondary high voltage is used as a secondary boosting energy source of the excimer lamp; according to the pulse type driving power supply, nanosecond pulse signals are adopted, and most of energy can be converted into 222nm UVC high-energy irradiation output, so that the working efficiency of the power supply and the lamp tube is greatly improved, peak energy output up to 10KW is realized, and the application field and prospect of the KrCl excimer lamp tube are obviously widened. Through pulse current monitoring, quantitative calculation and over-current protection of pulse current and power are successfully realized, impact on a switching device is effectively reduced through nanosecond response, and stability and reliability of a high-voltage circuit are remarkably improved. Therefore, economic loss caused by circuit breakdown due to abnormity of the power supply device in a high-voltage environment is greatly reduced.