15results about How to "Fast evaluation" patented technology

The invention relates to the technical field of image processing, in particular to a construction method and system of a water area breach live-action three-dimensional model. The method comprises the following steps: acquiring breach area control point position data; performing surveying and mapping reference confirmation on the breach area control point position data to generate breach area control point reference data; performing three-dimensional coordinate conversion through the breach area control point reference data so as to generate breach area plane coordinate data; unmanned aerial vehicle satellite signal receiving is carried out based on the breach area plane coordinate data, and a standard unmanned aerial vehicle satellite signal is obtained; and performing unmanned aerial vehicle aerial image acquisition based on the standard unmanned aerial vehicle satellite signal to obtain an aerial image of the breach area. Through accurate data acquisition, efficient unmanned aerial vehicle image acquisition and processing, dynamic image utilization and optimized point cloud model construction and texture mapping, the accuracy and timeliness of the three-dimensional model are improved.

The application discloses a kind of hybrid power system health management method and system, belong to power system health management field.This application selects the characteristic signal of engine, battery and vehicle in hybrid power system to establish hybrid power system health degree;When hybrid power system fails, by obtaining characteristic signal and carrying out normalization processing, hybrid power system health degree based on grey correlation analysis method GRA is calculated in real time, and the misjudgment and the missed judgment of fault are reduced by the fault confirmation method based on counting;When hybrid power system fault is confirmed, through the power redistribution health management strategy under system fault based on LSTM-MPC, the change of hybrid power system speed, battery temperature and diesel engine exhaust temperature in limited time domain is predicted, and the predictive maintenance of hybrid power system health degree is carried out in combination with the change prediction result of part of the state of hybrid power system, so that hybrid power system can still operate with fault under the condition of meeting constraint.

This invention discloses a method for rapidly detecting conventional and hybrid varieties of industrial chili peppers and its application, relating to the field of molecular breeding technology. The method includes: extracting DNA from fresh leaves of the industrial chili pepper to be tested and performing whole-genome resequencing at a sequencing depth of 8×–12×; aligning the sequencing data to the chili pepper reference genome (Capsicum chinense cv. 'PBC932') to screen for high-quality heterozygous SNP loci; using a 1 Mb sliding window to statistically analyze the distribution density of heterozygous SNPs across the entire genome; and determining the variety type based on density thresholds: an average density <300 SNPs / Mb indicates a conventional variety, and >2000 SNPs / Mb indicates a hybrid variety. This invention eliminates the need for phenotypic observation in subsequent generations, requiring only leaves from current-generation plants to rapidly and accurately distinguish conventional and hybrid varieties at the molecular level. It features a short detection cycle, objective and reliable results, and is not limited by the number of molecular markers, providing strong technical support for efficient identification and early screening of industrial chili pepper germplasm resources.

The invention provides an event assessment and auxiliary decision-making method and system for an offshore operation platform, and the method comprises the steps: taking platform data in different complex operation scenes as input, employing different key data preprocessing methods, and obtaining event assessment key factors and relationships of the whole offshore platform; an evaluation analysis model is established to analyze and evaluate the whole platform event space, auxiliary decision support data is improved, visual display is carried out with different granularities or different abstract levels, and the function of accurately evaluating and deciding platform events is achieved. According to the method, the decision-making speed is increased by analyzing, concluding and integrating complicated data accumulated by subsystem equipment of the maritime satellite launching and recycling platform and carrying out classified analysis on evaluation data by utilizing an intelligent optimization genetic algorithm; an event evaluation model constructed based on a fusion algorithm is applied to assist the platform and personnel in performing remote diagnosis and decision-making on the operation of the offshore operation platform, so that risk threats caused by emergencies are reduced, and the operation efficiency of the platform is improved.

The present application relates to a method, device, equipment and storage medium for evaluating translation results, wherein the method comprises: obtaining source language data and translated target language data; determining a first statistical feature of the source language data and determining a second statistical feature of the target language data; calculating the semantic similarity between the source language data and the target language data; calculating the language quality feature of the target language data; wherein the language quality feature is used to characterize whether the target language data is grammatically correct; inputting the first statistical feature, the second statistical feature, the semantic similarity and the language quality feature into a deep neural network model to obtain an evaluation result. The present application is used to solve the technical problem that the translation results cannot be accurately evaluated, resulting in low translation efficiency.

The application discloses a solid electrolyte damage prediction method based on a physical enhanced time sequence network, comprising: obtaining an electrolyte characteristic parameter to be measured; inputting the electrolyte characteristic parameter to be measured into a trained physical enhanced Transform-LSTM network model to obtain a future elastic energy density historical maximum value of each time; and calculating a damage sequence parameter according to the predicted future elastic energy density historical maximum value of each time to complete the prediction. The solid electrolyte damage prediction system based on the physical enhanced time sequence network comprises a data acquisition module, a data preprocessing module, a physical enhanced network inference module, a damage evaluation module and a result output and early warning module connected in series. The solid electrolyte damage prediction method and system based on the physical enhanced time sequence network can greatly reduce the data acquisition cost by introducing irreversible physical constraints and damage evolution residuals, and only about 30% of the working conditions required by the pure phase field simulation method is needed as training data to achieve the same prediction accuracy.

The invention relates to the technical field of magnesium-based alloy manufacturing data processing, provides a magnesium-based alloy quality rating and recommending method, and aims to solve the problem of inaccurate quality rating caused by raw material component fluctuation and test condition difference in the existing magnesium-based alloy manufacturing process. The method comprises the following steps: constructing a preprocessing data set and performing feature extraction and integration by obtaining magnesium-based alloy preparation historical tasks, raw material components, performance test, test conditions, test equipment information and operator skill level data; and training and establishing a quality rating model by using a neural network model, and identifying the influence of raw material components and test conditions on the alloy quality. And through simulation and optimization, preparation parameters matched with the real-time magnesium-based alloy quality grade are obtained and serve as recommended parameters. According to the method, the accuracy of magnesium-based alloy quality rating is improved, and a magnesium-based alloy recommendation method is provided.

The invention discloses a method and a device for judging immunotherapy sensitivity, electronic equipment and a medium. The method comprises the following steps: acquiring a digital slice image of a target slice from scanning equipment; performing image preprocessing on the digital slice image to obtain a target image; inputting the target image into a pre-trained feature extraction model to perform feature extraction of the nebula features, and obtaining segmented images of the nebula features; wherein the feature extraction model is obtained through slice sample image training based on a convolutional neural network; based on the segmented image and the digital slice image, obtaining an area proportion of nebula features; and according to the area ratio, combining with a preset threshold range to obtain the sensitivity level of the target object to immunotherapy. The technical scheme of the invention shows remarkable beneficial effects in the aspects of improving pathological analysis precision, accelerating evaluation speed, optimizing medical resource utilization, promoting medical research and the like, has important significance in improving the treatment effect of a patient and realizing precise medical treatment, and can be widely applied to the technical field of image processing.

The invention discloses a multi-target constraint evolution unmanned aerial vehicle path planning method based on hash table approximate calculation. The method comprises the following steps: acquiring a three-dimensional environment terrain of a flight area; dividing the three-dimensional environmental terrain into n Hash units, calculating a target value and a constraint value of each Hash unit, and storing the target value and the constraint value in a Hash table; determining path points based on the three-dimensional environmental terrain by using B-spline sampling; and querying the hash table to determine a target value and a constraint value of each path point, and planning the path of the unmanned aerial vehicle by considering a path target function and a constraint function at the same time. According to the method, the optimality of the path of the unmanned aerial vehicle can be ensured, consumption of computing resources is remarkably reduced, the response speed of path planning is improved, and the requirements for real-time performance and practicability are met.

The invention belongs to the technical field of ship energy conservation and emission reduction, and provides an energy-saving effect evaluation method for wind-assisted propulsion of a ship. By establishing a unified wind-assisted propulsion ship energy-saving effect evaluation model suitable for each engineering stage, the wind-assisted propulsion ship energy-saving effect evaluation process is simplified, and the workload of repeatedly establishing the model in different engineering stages is reduced, so that the evaluation efficiency is improved; by defining a calculation model in a specific engineering stage, the accuracy and efficiency of energy-saving effect evaluation calculation of the wind-assisted propulsion ship can be ensured; according to the method for obtaining the relation between hydrodynamic force and aerodynamic force of a mechanical equilibrium equation / equation set of calculation models with different degrees of freedom and the sailing attitude and the effective thrust, unnecessary complexity and errors can be avoided, and meanwhile the energy-saving effect evaluation calculation speed of the wind-assisted propulsion ship is increased.

The invention discloses a loan risk assessment method and device, a storage medium and electronic equipment. Relates to the field of artificial intelligence, the field of financial science and technology and other related technical fields, and the method comprises the steps: carrying out the detection and recognition of target remote sensing images of a target fishery in a plurality of time periods according to a target detection model, and obtaining the operation range information of fishing boats in the target fishery; predicting the fishing amount of the plurality of fishing boats in the target fishing ground according to the time sequence prediction model to obtain the predicted fishing amount of the plurality of fishing boats in the target time period; and according to the operation range information and the predicted fishing amount, determining a loan risk level of the target fishery, the loan risk level being used for indicating whether to handle the target loan business for the target fishery. According to the method and the device, the problem of relatively low assessment accuracy of the risk of handling the loan in the fishing ground due to the fact that the risk of handling the loan in the fishing ground is assessed by manually investigating the condition of the fishing ground on site in the prior art is solved.

The embodiment of the application discloses an evaluation method of an electrode, which comprises the following steps: obtaining an initial active lithium amount of a symmetrical battery to be measured; the material of a working electrode and a counter electrode of the symmetrical battery is graphite; performing a plurality of charging and discharging process controls on the symmetrical battery to obtain a residual active lithium amount; evaluating the graphite electrode of the symmetrical battery based on the initial active lithium amount and the residual active lithium amount; in each charging and discharging process, the symmetrical battery is charged and discharged by using a larger first charging rate and a first discharging rate, so that the counter electrode and the working electrode complete delithiation, the symmetrical battery is charged to a second voltage, so that the solid electrolyte interface film of the counter electrode completes electrical decomposition, and the symmetrical battery is discharged to a fourth voltage, so that the solid electrolyte interface film of the working electrode completes electrical decomposition. The application accelerates the time of each charging and discharging process and the consumption speed of lithium ions, thereby accelerating the evaluation speed of the graphite electrode.

The present invention discloses a device, method and computer-readable storage medium for automatically constructing a three-dimensional model of a stylus pen. The device comprises: a specification setting unit, which sets information related to the specifications of the stylus pen, wherein the specifications include the radius, height and material characteristic parameters related to the tip, core and ring of the stylus pen; and a three-dimensional model generating unit, which generates a three-dimensional model of one or more styluses and touch graphics based on one or more sets of acquired specification setting parameters of the stylus pen combined with one or more touch graphics of a touch panel and the process stacking of the touch panel.

The invention relates to the technical field of lithium batteries, in particular to a method for evaluating the gas production performance of a lithium-rich manganese-based positive electrode material and application of the method. The evaluation method comprises the following steps: preparing the lithium-rich manganese-based positive electrode material into a lithium-rich positive electrode plate with the surface density of A, the porosity of B and the radius of D; dropwise adding an electrolyte with the volume of C onto the lithium-rich positive pole piece and the diaphragm, and assembling into a button type half cell; 10 < = pi * D2 * A * 100B / C < = 25; the cycle index of the button type half-cell before diving has a corresponding relationship with the gas production rate of the lithium-rich manganese-based positive electrode material, and the gas production performance of the lithium-rich manganese-based positive electrode material is evaluated through the corresponding relationship between the cycle index of the button type half-cell before diving and the gas production rate of the lithium-rich material. According to the method, the surface and interface stability of the lithium-rich manganese-based positive electrode material containing the coating layer or not containing the coating layer can be rapidly evaluated, and the gas production performance of the lithium-rich manganese-based positive electrode material can be rapidly evaluated.

This invention relates to a method for assessing the operational lifespan loss of a battery energy storage system (BESS) based on the rotating gate algorithm, belonging to the field of power energy storage technology. The technical solution involves: improving the Whale Optimization Algorithm; using the improved Whale Optimization Algorithm to search for the globally optimal gate width of the rotating gate algorithm based on the state-of-charge (SOC) change curve of the battery cells; using the globally optimal gate width again, extracting feature data points from the SOC change curve of the battery cells using the rotating gate algorithm; and using these feature data points to obtain the depth of discharge of each battery cell in each half-cycle, thereby calculating the operational lifespan loss of the BESS. This invention can quickly and accurately assess the operational lifespan loss of a BESS, accelerating the assessment speed and reducing the time required for assessment. It combines accuracy and speed, promoting the better application of BESS in various aspects of the power system, and also providing a reference for BESS investment and control.