6results about How to "Accurate performance" patented technology

The invention relates to the technical field of data processing, in particular to a stability evaluation method based on a big language model, which comprises the following steps: S1, acquiring big language associated data; s2, calculating a stability coefficient according to the big language associated data, and obtaining an evaluation result according to the stability coefficient; s3, adjusting the calculation process of the stability coefficient according to the big language associated data, and correcting the adjustment process of the calculation of the stability coefficient according to the big language associated data; s4, judging the denoising capability according to the evaluation result and the big language associated data, calibrating the correction process of the adjustment of the calculation of the stability coefficient according to the judgment result, and compensating the judgment process of the denoising capability according to the big language associated data; and S5, updating the large language model according to an evaluation result. The method is used for evaluating the stability of the large language model and optimizing the vehicle-mounted large language model system according to the evaluation result.

The present application relates to metal matrix composites, and in particular to a method for designing and predicting the performance of metal matrix composites. The present application uses a finite element method based on the model composite physical properties and structural parameters, fully considers the influence of the interface matrix strengthening microzone on the performance of the composite material during the model establishment process, effectively reflects the influence of the real interface performance and debonding behavior on the service failure of the composite material, truly restores the internal situation of the composite material, realizes the performance-oriented design and performance prediction of the metal matrix composite, and has the characteristics of truly restoring the characteristics of the composite material and accurate performance prediction.

The embodiment of the application belongs to the technical field of detection, and relates to a kit and a method for measuring cytotoxin-related protein A, comprising Ra reagent, Rb reagent, Rc reagent and a luminescent substrate; wherein the Ra reagent comprises streptavidin-modified magnetic microparticles; the Rb reagent comprises a biotin-labeled cytotoxin-related protein A antibody; and the Rc reagent comprises a chemiluminescent substance-labeled cytotoxin-related protein A antibody. The application has high sensitivity and accurate test results.

The invention relates to the technical field of hydraulic engineering, and discloses a dam safety index prediction method and device, electronic equipment, a medium and a product, and the dam safety index prediction method comprises the steps: carrying out the noise separation of a safety index monitoring data sequence, and obtaining a plurality of modal components; performing correlation analysis on each modal component and the safety index monitoring data sequence, and screening the plurality of modal components according to a correlation analysis result to obtain a plurality of target modal components; reconstructing the plurality of target modal components to obtain a target safety index monitoring data sequence; the safety index of the target dam is predicted according to the environment monitoring data sequence and the target safety index monitoring data sequence, and a safety index predicted value is obtained. Noise separation and screening are carried out on the safety index monitoring data sequence, so that more accurate safety index monitoring data are obtained; safety index prediction is carried out according to the environment data and the safety index monitoring data, and the accuracy of safety index prediction is improved.

A method, system, and medium for evaluating the performance of conductors after a wildfire failure are disclosed. The method includes: inputting images and parameter information of the conductor to be evaluated into a pre-trained appearance evaluation model to perform a preliminary assessment of the damage level; if the preliminary assessment result indicates non-severe damage, performing a secondary assessment of the damage level based on the conductor's diameter and standard requirements; if the secondary assessment result indicates non-severe damage, conducting a tensile strength test to obtain the tensile strength, and performing a tertiary assessment of the damage level based on the tensile strength; if the tertiary assessment result indicates non-severe damage, obtaining the recrystallization status of the conductor's microstructure, and performing a quaternary assessment of the damage level based on the recrystallization status; and determining the damage grade of the conductor based on the assessment results of the preliminary, secondary, tertiary, and quaternary assessments. This application enables rapid, convenient, and accurate evaluation of conductor performance after a wildfire failure, while effectively guiding subsequent operation and maintenance work.

This invention discloses a battery-motor collaborative scheduling method, device, and medium based on real-time data, relating to the field of energy dispatching technology. The method includes: collecting battery health data and motor operation data to obtain a raw battery dataset; preprocessing the raw battery dataset to generate a processed battery dataset; evaluating the battery status of the processed battery dataset and combining it with actual battery performance to generate a battery status evaluation report; combining charging control commands with the battery status evaluation report and adjusting the power flow between the battery and the power grid based on the interaction between the battery and the power grid to generate a power dispatching optimization strategy; detecting the battery charging process based on the power dispatching optimization strategy; adjusting the battery charging and discharging power in real time according to the battery status evaluation report to obtain the real-time charging status; adjusting the energy transmission efficiency between the battery and the power grid; and generating a working status report.