35results about How to "Reduce evaluation costs" patented technology

The invention discloses a big language model evaluation system and method, and belongs to the technical field of big language model evaluation. The system comprises a data preparation module, a basic performance evaluation module, an efficiency evaluation module, a robustness and multi-mode evaluation module, a distributed task scheduling module and a feedback optimization module. Through the system, the technical effect of multi-dimensionally, efficiently and automatically evaluating the large language model is achieved.

The invention relates to the technical field of speech recognition effect evaluation, in particular to a speech recognition evaluation method based on artificial intelligence. The method comprises the following steps: acquiring to-be-evaluated voice data, analyzing the to-be-evaluated voice data to obtain a voice fluency index, a voice clarity index and a voice accuracy index, and calculating to obtain a first voice quality index of the to-be-evaluated voice data based on the voice fluency index, the voice clarity index and the voice accuracy index; inputting the to-be-evaluated voice data into the voice content recognition model, outputting a prediction text of the to-be-evaluated voice data, and performing comparative analysis on the prediction text and the labeled text to obtain a second voice quality index of the to-be-evaluated voice data; and obtaining a voice recognition evaluation result corresponding to the to-be-evaluated voice data based on the first voice quality index and the second voice quality index. According to the invention, the evaluation efficiency and accuracy of the speech recognition effect can be improved.

The invention discloses a modeling method for single channels of a selective catalytic reduction reactor, a plurality of SCR single channels are arranged in the reactor, a main channel is surrounded by a catalytic coating, a plurality of pore channels are formed in the catalytic coating, ammonia molecules are adsorbed on active sites of a catalyst, and a selective catalytic reduction reaction is carried out on the active sites of the catalyst. The modeling method comprises the steps that S1, an SCR single-channel mathematical model is established, wherein the SCR single-channel mathematical model comprises a component balance equation, a momentum balance equation and an enthalpy balance equation of a gas phase substance in a main channel, a gas phase component balance equation, an enthalpy balance equation, an NH3 coverage balance equation, a component balance equation of a gas phase-coating interface and a gas enthalpy balance equation; s2, giving an initial condition and a boundary condition, limiting part of unknown parameters, and substituting the parameters into each equation to obtain a closed equation set; the model established by the invention can obtain the nitrogen oxide conversion rate, so that the emission reduction performance of the reactor is evaluated. And the influence of mass transfer limitation and mild aging degree of the catalyst is considered, so that the evaluation is more accurate.

The invention discloses a concentration composite detection method for platelet-rich plasma. The method comprises the following steps: acquiring a platelet concentration measurement value sequence of the platelet-rich plasma; performing transmittance measurement on the platelet-rich plasma to obtain a transmittance measurement value sequence; preprocessing the platelet concentration measurement value sequence and the transmittance measurement value sequence to obtain a preprocessed sequence set; and performing composite detection processing on the pre-processing sequence set to obtain blood concentration detection result information. The platelet concentration can be rapidly and accurately detected in the platelet-rich plasma collection process.

The embodiment of the invention provides a vehicle drivability evaluation method and system, electronic equipment and a storage medium, and belongs to the technical field of automobile engineering. The method comprises the steps that when it is determined that a vehicle is in a constant acceleration working condition, a vehicle longitudinal acceleration disturbance scoring index, a high-frequency disturbance frequency and amplitude proportion scoring index, a longitudinal acceleration gradient scoring index, an expected acceleration scoring index, an accelerator map matching degree scoring index and a low-frequency resonance scoring index are calculated; based on the vehicle longitudinal acceleration disturbance scoring index, the high-frequency disturbance frequency and amplitude proportion scoring index, the longitudinal acceleration gradient scoring index, the expected acceleration scoring index, the accelerator map matching degree scoring index and the low-frequency resonance scoring index, calculation is conducted according to preset weights, and a drivability evaluation score is obtained. By combining multi-dimensional and quantitative evaluation indexes, accurate evaluation of the acceleration performance of the AMT heavy truck is realized, the evaluation consistency and efficiency are improved, and the evaluation cost is reduced.

The invention discloses a group high-voltage current transformer operation metering error evaluation method and a storage medium. The method comprises the steps of S1, data acquisition; the method comprises the following steps: acquiring known measurable electric power data, and extracting various information physical relationships and massive mutual inductor measurement data sets by analyzing three-phase power electrical physical relationships of a power grid; s2, modeling is carried out; determining a direct constraint relation of the current transformer, establishing a plurality of target sub-functions, and converting an error evaluation problem into a multi-target solving problem; s3, optimization solution is carried out; a multi-target multi-constraint problem is solved, and a CT primary side current truth value set # imgabs0 # is obtained; S4, evaluation is carried out; the mutual inductor error is evaluated according to the optimal solution, the error E of the n CTs of the to-be-detected group is calculated, and E is the final evaluation result. The storage medium is used for storing a computer program for executing the method. The method has the advantages of being simple in principle, good in real-time performance, wide in application range, low in evaluation cost and the like.

The invention belongs to the technical field of hydrogen production through water electrolysis, and particularly relates to an off-line method for evaluating gas washing resistance of a catalyst layer, which comprises the following steps: uniformly mixing a catalyst, a dispersing agent and an ion exchange resin solution to form catalyst slurry; coating a base material with the catalyst slurry, and drying at 60-80 DEG C to form a catalyst layer; soaking the base material coated with the catalyst layer in a hydrogen peroxide solution, and controlling the soaking time, the soaking temperature and the concentration of the hydrogen peroxide solution to simulate different degrees of bubble scouring; after the test is finished, the catalyst layer is detected, the surface integrity of the catalyst layer is observed, and the structural damage degree is evaluated. By simulating the bubble scouring phenomenon in the actual electrolysis environment, the structural stability of the catalyst layer can be rapidly evaluated, the evolution process of the catalyst layer structure under gas scouring can be directly observed, and developers can rapidly screen the catalyst layer and optimize the catalyst layer structure.

The invention provides a steel material fracture toughness prediction method, system, equipment and medium, and the method comprises the steps: obtaining carbon content distribution data of a to-be-tested steel material, selecting a carbon content from the carbon content distribution data, and recording the selected carbon content as a target carbon content; calculating the upper platform impact absorption energy and the temperature offset of the target carbon content through a first calculation model; generating a fracture toughness curve of the target carbon content based on the upper platform impact absorption energy and the temperature offset; the tensile strength of the target carbon content is calculated through a second calculation model, and the yield strength of the target carbon content is calculated through a third calculation model; generating a passivation line equation of the target carbon content based on the tensile strength and the yield strength; based on the fracture toughness curve and the passivation line equation, plane strain fracture toughness corresponding to the target carbon content is generated; the plane strain fracture toughness of each target carbon content is counted, and fracture toughness data of the to-be-detected steel material is generated. The method can provide input for ductile tearing fracture evaluation of the carbon-containing segregation structure.

The application discloses a unified adaptation and standardized evaluation method and system for a heterogeneous RAG framework. The method constructs a three-layer decoupling architecture of the arrangement layer, the adaptation layer and the evaluation layer. First, the ability characteristics of the target framework are automatically loaded through the framework capability perception matrix; then, an independent API adapter is assigned to encapsulate the heterogeneous framework into a unified operation interface, and an intelligent uploading strategy is executed and the heterogeneous response format is parsed into a unified four-tuple structure; then, six mutually orthogonal evaluation dimensions are established, and automatic evaluation is carried out based on a large language model evaluator; finally, combined with the framework capability, a differentiated evaluation standard is applied, different failure modes are mapped to specific dimension combinations to realize accurate performance attribution, and a comparative analysis report is output. The application effectively solves the problems that the heterogeneous framework cannot be uniformly evaluated and a single index is difficult to locate the bottleneck, and significantly improves the scientificity, reproducibility and fairness of cross-framework comparison of the evaluation.

The invention relates to the technical field of engines, in particular to a test method and system for evaluating the demulsification performance of methanol engine lubricating oil, and the method comprises the following steps: selecting a methanol engine of a target model as a test engine, transforming an oil pan, and filling test lubricating oil to be tested into the methanol engine after transformation, the method comprises the following steps: establishing a demulsibility test cycle working condition of to-be-tested lubricating oil, testing a methanol engine by using the demulsibility test cycle working condition, collecting lubricating oil samples in an oil pan before and after the methanol engine is tested, and determining the demulsibility of the to-be-tested lubricating oil according to analysis results of the oil samples before and after the test. Therefore, the problem that a bench test evaluation method for the demulsification performance of the methanol engine lubricating oil is lacked is solved, and the method has the advantages of high evaluation repeatability, short period, low cost and the like.

The invention discloses a compartment steady-state temperature field simulation method and device, a storage medium and a product. The method comprises the steps that a compartment three-dimensional model containing a complete passenger area and an air duct structure is constructed; performing gridding processing on the carriage three-dimensional model to obtain a carriage grid model; carrying out solving parameter setting on the compartment grid model; performing simulation calculation on the carriage network model after setting the solving parameters to obtain a carriage pressure field, a carriage speed field and a carriage temperature field; judging whether the compartment grid model is valid or not according to the distribution conditions of a compartment pressure field, a compartment speed field and a compartment temperature field; and whether the compartment refrigeration effect meets the requirement or not is judged according to the compartment temperature field. The evaluation efficiency of the compartment refrigeration scheme is greatly improved, the evaluation cost of the compartment refrigeration scheme is remarkably reduced, and the problems of long time and high cost caused by a trial-production mode are solved.

The present invention provides a method, device and equipment for evaluating greenhouse gas emissions of ships, wherein the method includes: obtaining static ship data of a target ship; obtaining the navigation track and meteorological sea condition data of the target ship within a preset driving period; determining at least one target segment of the navigation track of the target ship within the preset driving period according to the dynamic data corresponding to the navigation track of the target ship within the preset driving period and the meteorological sea condition data; determining a greenhouse gas emission evaluation model for at least one of the target segments; obtaining the target greenhouse gas emissions corresponding to at least one of the target segments of the target ship within the preset driving period according to the greenhouse gas emission evaluation model. The scheme provided by the present invention can realize the evaluation of greenhouse gas emissions of intelligent ships in different time periods corresponding to different segments, and reduce the evaluation cost of greenhouse gas emissions of intelligent ships.

The application discloses a method and device for quickly evaluating a ranking model, and belongs to the technical field of computers, in particular to the field of machine learning and data mining. The method comprises the following steps: obtaining a first score list of all items, wherein the score is obtained by a ranking model to be evaluated; obtaining a second score list of related items, wherein the score can be obtained from the first score list; dividing the first score list by taking the second score list as a demarcation value, and obtaining the ranking of the related items in the first score list; and calculating a ranking evaluation index and evaluating the ranking model according to the ranking of the related items. The application solves the problems of large calculation complexity and high calculation cost in the existing method for evaluating the ranking model, and improves the evaluation efficiency. By using the method, the ranking model can be quickly and accurately evaluated on the order of 100 million items by using a small amount of calculation resources, and the cost, resources and time are saved.

The invention discloses a method and device for evaluating the fracturing transformation effect, and the method comprises the steps: obtaining the pressure data of a gas well fracturing section after the pump is stopped, and the pressure data is the construction pressure drop second point data recorded after the pump is stopped; converting the pressure data to the well bottom to obtain well bottom pressure drop second point data after the pump is stopped; drawing a double logarithmic curve graph of the pressure and the derivative thereof according to the well bottom pressure drop second point data after the pump is stopped; extracting curve morphological characteristic information in the double logarithmic curve graph of the pressure and the derivative thereof, and determining flow direction characteristics of fluid in the gas well fracturing section according to the curve morphological characteristic information; according to the flow direction characteristics of the fluid in the gas well fracturing section, the fracturing transformation effect of the gas well fracturing section is determined, the evaluation result of the fracturing transformation effect can be more reliable, the pertinence and effectiveness of follow-up fracturing construction can be effectively improved, the evaluation cost can be saved while the accuracy of evaluating the fracturing transformation effect is guaranteed, and the evaluation efficiency is improved. The evaluation efficiency is improved.

The present invention provides a service perception evaluation method and system, firstly obtaining the TCP code stream of the user terminal, and identifying whether the XDR call sheet corresponding to the TCP session in the TCP code stream carries the identification information of the target service; then determining the start time and end time of the perception impact phase of the target service according to the XDR call sheet carrying the identification information; finally, performing a perception evaluation on the target service according to the start time and end time of the perception impact phase. This fills the technical gap in the perception evaluation of the shared bicycle service, and can provide a theoretical basis for improving the user's perception of the shared bicycle service, thereby helping to increase the number of users. Moreover, by using the TCP code stream of the shared bicycle service, resources can be fully utilized. In the process of service perception evaluation, no additional equipment is required to implement the evaluation, which can save the evaluation cost. In addition, the TCP code stream is easy to obtain, which can improve the evaluation efficiency.

The present invention relates to the technical field of audio data processing, and in particular to a piano data evaluation system and method based on machine learning. The method comprises: obtaining piano audio data, and obtaining actual load amplitude response, audio receiving frequency and audio evaluation quantity based on the piano audio data; calculating the audio spectrum distortion based on the actual load amplitude response and the audio receiving frequency, calculating the audio quality index based on the audio evaluation quantity, and calculating the loading coefficient JZ based on the spectrum distortion and the audio quality index, and judging whether the piano audio data meets the evaluation requirements by the loading coefficient JZ, and loading the piano audio data that meets the evaluation into the evaluation module; receiving the piano audio data and evaluating it, obtaining the evaluation score and the historical evaluation score, and generating an evaluation report. The present invention can reduce the subjectivity of the evaluation, improve the evaluation efficiency, and reduce the evaluation cost when evaluating the piano audio.

The present invention relates to the field of sound processing, and discloses a sound quality evaluation method, a computer device, and a storage medium, wherein the method comprises: obtaining sound data and subjective evaluation words; obtaining sound parameters matching the subjective evaluation words; determining characteristic values ​​of the sound parameters according to the sound data; and determining evaluation data of the sound data on the subjective evaluation words according to the characteristic values. The present invention can improve the reproducibility and accuracy of evaluation data; at the same time, it can also reduce the evaluation time for obtaining evaluation data, improve evaluation efficiency, and reduce evaluation costs.

The invention discloses a method and related device for evaluating the fracturing property of a shale reservoir, and the method comprises the steps: determining the contents of different types of minerals in the shale reservoir, obtaining the proportion of brittle minerals, and predicting the brittleness index of the shale according to an empirical formula and the proportion of the brittle minerals; calculating the cementation degree of the reservoir through natural potential logging data and natural gamma logging data or indoor rock electricity experiment data; determining a fracture toughness value of the block rock sample according to a Brazilian splitting experiment; and according to the normalized shale brittleness index, the cementing degree of the reservoir and the fracture toughness value, evaluating the fracturing property of the shale reservoir. According to the method, multiple factors such as the content and the type of minerals in the shale reservoir, the cementing degree of the reservoir and the fracture toughness of rock are comprehensively considered, so that the fracturing property of the shale reservoir is evaluated more comprehensively.

The invention provides a method for testing inter-permeation of dissimilar slurries. The testing method is carried out by adopting a coating device, and comprises the following steps: S1, correspondingly placing first slurry and second slurry on the same side of a baffle strip and different positions on foils on two sides of a baffle plate; s2, a coating element is used for coating, a foil coated with a wet film is obtained, and the wet film is formed by making contact with first slurry and second slurry; the coating speed is 15-25 mm / s, and the thickness of the wet film is 150-250 microns; and S3, the foil coated with the wet film is dried, and the mutual permeation distance between the first slurry and the second slurry is measured. The method aims at rapidly and accurately evaluating the influence of different positive electrode dispersants on the mutual permeation condition of the slurry, so that the non-mutual-permeation samples are rapidly screened out, the sample difference is helped to be distinguished, and the coating process efficiency and the pole piece quality are improved.

The invention relates to an eye fundus image recognition method and device, computer equipment and a storage medium. The method comprises the steps of inputting a fundus image of a to-be-detected patient into a feature extraction model obtained by performing federal training on an initial mask auto-encoder model based on a historical fundus image to obtain a feature image corresponding to the fundus image, and then inputting the feature image and clinical index information of the to-be-detected patient into an evaluation identification model, the damage condition of the hypertension target organ and / or the damage probability of the hypertension target organ are / is obtained. According to the embodiment of the invention, the hypertension diagnosis and prediction result of the to-be-detected patient can be determined only based on the fundus image and the clinical index information of the to-be-detected patient, the operation process of hypertension target organ injury assessment is simplified, the assessment cost is reduced, and assessment is performed based on the feature extraction model and the assessment identification model, so that the assessment efficiency is improved. And the accuracy of evaluating the hypertension target organ injury is also improved.

The invention relates to the technical field of green port grade evaluation, and particularly discloses a method and system for assisting in evaluating the grade of a green port based on multi-source remote sensing data, and the method comprises the steps: determining a port area boundary range and a port storage yard range based on a high-resolution remote sensing image, and limiting a port area; establishing an attribute table based on a geographic information system; identifying a dust suppression measure, a sewage pretreatment / treatment measure and a sound insulation and vibration reduction measure based on a high-resolution remote sensing image; identifying a shoreline utilization degree, a solid waste recycling measure, a harbor district greening measure and an ecological bank protection measure in a harbor district boundary range; identifying emission concentrations of COD, ammonia nitrogen, NOx, and particular contaminants in the defined port area; carrying out score marking on the recognition result in an attribute table to obtain a comprehensive evaluation result; and assisting in evaluating the grade of the green port based on the comprehensive evaluation result. The method achieves the evaluation of the grade of the green port based on remote sensing data, and improves the evaluation efficiency and accuracy.

The application discloses a kind of batch CTD sensor conductivity drift performance fast evaluation method and system, it is related to marine observation instrument test and calibration technical field.The method includes: the conductivity time series data of multiple temperature salinity depth sensors is synchronously collected;Statistical weight of each sensor is estimated based on the historical error variance in sliding window, and improved robust fuzzy C mean fusion algorithm is used to generate virtual true value, and virtual true value sequence is biased and corrected based on group median;The deviation sequence of each sensor relative to the virtual true value after correction is calculated, and the long-term drift rate and initial bias are estimated by linear regression estimation;Quantitative score is carried out from four dimensions, and the comprehensive score is calculated by weighting, and the drift level is judged.The application does not need to rely on high-precision external reference, supports batch parallel evaluation, can quickly output objective quantitative score and diagnostic conclusion, and is suitable for CTD sensor batch production detection and on-site rapid screening scene.

The invention discloses a large model tool calling multi-dimensional performance evaluation method and system, and relates to the technical field of artificial intelligence and natural language processing, and the method achieves the comprehensive evaluation of the calling capability of a large model tool through the four core steps of data preparation, data standardization processing, multi-dimensional quantitative evaluation and result output. The method specifically comprises the steps of constructing a standard test data set and obtaining model output, analyzing and normalizing tool calling information, carrying out quantitative evaluation from multiple dimensions of function name matching, parameter name matching, parameter value semantic matching and unauthorized tool calling detection, and finally generating an automatic comparison report. According to the method, the problems of single dimension, semantic understanding deficiency, dependence on manual annotation and insufficient security management and control of an existing assessment method are solved, the method has the advantages of multi-dimensional interpretability, semantic level assessment accuracy, security enhancement and full-automatic efficient evaluation, and the method can be widely applied to transverse comparison and optimization iteration of large model tool calling capability.

The present application discloses a method and device for evaluating the separation of implicit cognitive ability and explicit behavioral response, including: obtaining target basic data of a target subject; determining m movement follow-up tasks according to a first preset brain region, a second preset brain region and the target basic data; guiding the target subject to perform m movement follow-up tasks to obtain m real movement data; obtaining m first EEG data and m second EEG data of the target subject; obtaining m theoretical movement data corresponding to the m movement follow-up tasks; determining m movement difference degree values ​​between the m real movement data and the m theoretical movement data; determining the separation degree of the target subject's implicit cognitive ability and explicit behavioral response according to the m movement difference degree values, the m first EEG data and the m second EEG data. By adopting the embodiments of the present application, the separation between the level of implicit cognitive ability and the explicit behavioral response is detected at a low cost.

The invention relates to an evaluation method and device of an information system, computer equipment, a storage medium and a computer program product. The method comprises the following steps: carrying out demand analysis on technical system and interoperability evaluation on an information system, obtaining a technical system and interoperability evaluation model of a corresponding system, pre-classifying data of a to-be-evaluated object in the model to obtain credible data and non-credible data, and carrying out evaluation on the credible data and the non-credible data; taking the credible part of the to-be-evaluated object as a first evaluation result of the to-be-evaluated object, and inputting the non-credible part of the to-be-evaluated object into an evaluation index of a pre-constructed technical system and an evaluation index of pre-constructed interconnection and interoperability to obtain a second evaluation result of the to-be-evaluated object, according to the first evaluation result and the second evaluation result, the evaluation result of the information system of the to-be-evaluated object is obtained, according to the method, the information system is evaluated from the perspective of a technical system and interconnection, interworking and interoperation, the evaluation result of the information system is obtained, and the comprehensive evaluation result is obtained.

This invention discloses a rapid early warning and estimation method for the structural state of prestressed concrete continuous rigid frame bridges based on long-term deflection changes, belonging to the field of bridge structural health monitoring and assessment technology. This method involves setting up permanent observation points during the operation of the continuous rigid frame bridge to collect long-term deflection data and establish a deflection characteristic equation. Combined with the prestress-deflection and main beam stress-deflection regression relationships, it achieves dynamic calculation of the structure's prestress and stress state. Simultaneously, it sets early warning thresholds based on deflection development trends to provide rapid early warning of abnormal structural deformation and completes the serviceability limit state and ultimate limit state assessments according to current standards. This invention solves the problems of reliance on short-term data, delayed early warning, and inaccurate state estimation in traditional bridge assessments. It achieves long-term dynamic tracking and accurate prediction of structural state, providing a scientific basis for bridge maintenance decisions and is applicable to the health monitoring and performance assessment of continuous rigid frame bridges during the operation period.

The present application relates to a kind of automatic evaluation and report generation method based on while drilling parameter geologic hardness grade, including obtaining while drilling parameter, borehole number and borehole depth, while drilling parameter can be integrated with physical constraint to generate comprehensive characterization vector, comprehensive characterization vector input classification model to generate geologic hardness evaluation value, according to the data and geologic hardness evaluation value generated evaluation report.The method of the present application fully considers the coupling relationship between multiple parameters in while drilling parameter, can obtain while drilling parameter at the same time, according to the while drilling parameter data generated automatically geologic hardness evaluation value, realize the continuous evaluation of full borehole depth, and simultaneously generate evaluation report, compared with traditional single parameter simple regression method, robustness is stronger, reduces the evaluation result error, and timeliness is good, cost is low, and evaluation information is complete.

The invention discloses a method for rapidly evaluating the improvement effect of injection molding raw materials on weld marks. The method comprises the steps that S1, a color plate injection mold is constructed; s2, injection molding of a color plate; and S3, comparing the degrees of the weld marks. According to the method, different polyolefin raw materials are subjected to injection molding by adopting a small and simple injection mold to form different color plates with weld marks, the improvement effects of the different polyolefin raw materials on the weld marks are evaluated according to the degrees of the weld marks on the different color plates, and according to the improvement effects of the weld marks, the quality of the color plates is improved. And screening out the polyolefin raw material with the weld mark with the minimum formation degree. The method is simple, efficient and rapid, time and labor consumed by a traditional mold testing method are greatly saved, meanwhile, polyolefin raw materials are saved, and the evaluation cost is saved.

The invention relates to a satellite attitude determination accuracy evaluation method and system, comprising: using a satellite onboard computer to collect quaternion original measurement data of all star sensors installed on two or more satellites, transmitting all the original measurement data of the star sensors and the satellite attitude quaternion determined in real time by the onboard computer to the ground through a data transmission channel; obtaining the inertial attitude angular velocity of the satellite three axes and the inertial attitude angular velocity of the three axes of each star sensor during the evaluation period; processing the acquired star sensor original measurement data and the attitude quaternion determined in real time on the satellite, and further obtaining the high-frequency part and low-frequency trend item of the two data measurement errors; processing the high-frequency part of the measurement error to obtain the satellite attitude determination high-frequency error evaluation standard and evaluation result; processing the measurement error low-frequency trend item to obtain the star sensor installation benchmark stability evaluation result, the satellite attitude determination low-frequency error evaluation standard and evaluation result.

The invention discloses a method for predicting low-dose-rate irradiation damage of a bipolar device. The method comprises the following steps: establishing a bipolar device structure model according to a bipolar device structure and process parameters, and actually measuring electrical parameters for calibration; establishing a defect physical model, and obtaining a mapping relation between parameters of the defect physical model and the accumulated dose through an experiment; coupling the defect physical model and the bipolar device structure model, establishing an ionizing radiation damage model, and performing calibration in combination with experimental data to form a bipolar device low-dose-rate radiation damage prediction model; and performing electrical parameter simulation under different cumulative doses based on the bipolar device low-dose-rate irradiation damage prediction model to realize device irradiation damage prediction. According to the method, a bipolar device structure model and a bipolar device low-dose-rate irradiation damage prediction model are established based on a simulation tool by adopting a method of combining an irradiation experiment and numerical simulation, so that rapid and quantitative estimation of key electrical characteristic degradation behaviors of the device in a wide working voltage range is realized.