349 results about "Test evaluation" patented technology

The invention discloses an automatic code generation and optimization system based on multiple modes, which relates to the technical field of automatic programming, and comprises a task analysis module for analyzing task description and constraint conditions in combination with a CLIPS rule engine and a knowledge graph and original data, identifying task targets and requirements, and outputting a task risk assessment report and a task intention set; the optimization decision module is used for selecting an optimal modal data subset by using a particle swarm optimization algorithm and a path planning algorithm, performing optimization adjustment according to task requirements, and outputting a code generation strategy; and the test evaluation module is used for evaluating and improving the unit test and the integration test by utilizing the variation test, carrying out quality and performance evaluation on the code through continuous integration and continuous delivery, and outputting a code evaluation report and an optimization suggestion. According to the method, the optimal modal data subset is dynamically screened, and the data transmission path is optimized, so that the code performance is ensured, the computing resource consumption is reduced, and the global optimization of the code generation strategy is realized.

The invention relates to the technical field of electrical variable testing, in particular to a high-precision performance testing processing method and system for a low-impedance voltage transformer. The method comprises the following steps: constructing a controllable test excitation signal, and synchronously collecting a corresponding primary side voltage and a secondary side voltage of a mutual inductor; space electromagnetism elimination is carried out according to the primary side voltage and the secondary side voltage of the mutual inductor, and frequency domain characteristic decomposition and signal instantaneous offset calculation are carried out at the same time, so that a mutual inductor signal characteristic matrix is constructed; acquiring environment parameters corresponding to the low-impedance voltage transformer; constructing a neural network model based on Bayesian optimization, and predicting and outputting a performance parameter set corresponding to frequency response and load characteristics; and comparing the performance parameter set with a preset standard threshold value, feeding back, generating a calibration compensation coefficient, testing and evaluating, and generating a high-precision performance test report corresponding to the low-impedance voltage transformer. According to the invention, high-precision performance testing of the low-impedance voltage transformer can be realized.

The invention discloses an automatic driving test case generation method based on a large model retrieval enhancement technology, and aims to improve the generation efficiency of an automatic driving test scene. The method comprises the following steps: firstly, cutting a preprocessed data text into blocks, and vectorizing the text through an embedded model to construct an efficient vector database; secondly, preliminarily retrieving related text blocks by using an improved hybrid retrieval algorithm, and reordering by using a BERT cross encoder to improve the relevance of retrieval results; aiming at the complex task requirement in the automatic driving test, the method is divided into a plurality of sub-tasks to be executed in parallel, so that the retrieval efficiency and accuracy are improved. And then, a LoRA strategy is adopted to finely adjust the large language model so as to adapt to an automatic driving scene generation task. And finally, jointly inputting the cue word template and the reordering result into a fine tuning model to generate a test case. According to the invention, a brand new technical scheme is provided for automatic driving test scene generation, and the method is of great significance in improving the test evaluation level of automatic driving and accelerating the landing of the automatic driving technology.

The invention discloses a test evaluation method and device for an industrial park integrated management system. The method comprises the following steps: acquiring a performance index data set of the industrial park integrated management system; the performance index data set comprises a performance index test data subset of each subsystem; the performance index test data subset comprises a test data sequence of each performance index; pre-processing the performance index data set to obtain a to-be-evaluated data set; and performing test evaluation processing on the to-be-evaluated data set to obtain a performance evaluation result value of the industrial park integrated management system.

The invention discloses an automatic software function testing and evaluating method based on a multi-modal large model, and particularly relates to the field of non-embedded software function testing and evaluating, which comprises the following steps: collecting software texts, images and structured data, generating corresponding feature vectors, aligning through a cross-modal comparison algorithm, and constructing a multi-modal testing and evaluating data set; deep features of all modes are extracted through a mode exclusive encoder, and a unified multi-mode function vector is output based on information entropy dynamic weighted fusion; constructing triple training data, and optimizing the multi-modal large model by combining a joint loss function with an enhanced training strategy; and finally, deploying the model at a cloud end and an edge node, carrying out real-time triggering test by docking a CI / CD process, and realizing functional integrity verification, interactive compliance detection and accurate defect positioning through semantic vector comparison, graph isomorphism rate calculation and cross-modal attention backtracking. According to the scheme, the test comprehensiveness and precision are improved, and the rapid iteration requirement of software is met.

The invention discloses a personalized learning system based on multiple agents and retrieval enhancement generation. The system comprises a knowledge extraction agent, a retrieval enhancement generation module, a planning teaching agent, a knowledge consolidation agent and a test evaluation agent. The knowledge extraction agent extracts document information from the original learning materials and converts the document information into semi-structured data; the retrieval enhancement generation module is used for storing the semi-structured data into a vector library in a vector form, retrieving information in the vector library according to a request sent by a user, and inputting enhancement information combined by the retrieval information and the request into a downstream agent; and the planning teaching agent, the knowledge consolidation agent and the test evaluation agent are respectively used for constructing a knowledge graph according to the received information to generate a personalized teaching plan, generating exercise questions to consolidate learned knowledge, evaluating a learning effect and providing feedback suggestions. The learning efficiency, the learning effect and the learning experience of the learner can be remarkably improved, and personalized learning can be met.

The invention discloses a control method and system of automation equipment for industrial production, and particularly relates to the technical field of automation equipment control. The method comprises the following steps: extracting diversified samples of normal values, abnormal values and hidden defects from an existing data warehouse, labeling categories, and constructing a high-quality initial data set; evaluating the stability of the model by using a layered K-fold cross validation method, and testing and evaluating the consistency of the abnormal response capability and the historical mode through a high-load condition when the model is unstable; comprehensively analyzing the stability and the abnormal response capability of the model, and evaluating the capability of the AI for identifying error modes in historical data; for inaccurate identification, the dynamic time warping algorithm is used for detecting the deviation degree of the equipment operation parameters, an alarm is triggered in time, and the production process is paused to guarantee the safety of the equipment, so that the reliability and accuracy of the AI model in a dynamic environment are remarkably improved, and meanwhile, the risks of equipment damage and production safety accidents caused by optimization errors are effectively reduced.

The invention provides an electromagnetic safety test system and method for switch integrated equipment, and relates to the technical field of power system switch equipment. The system is used for solving the problems that multi-parameter dynamic coupling analysis of a traditional test is insufficient, transient and gradual interference is difficult to capture by a fixed window, and comprehensive quantitative evaluation is lacked, and comprises a test module, an interference analysis module and a test evaluation module, calculating a total coupling interference variable; the interference analysis module draws a change curve based on the total coupling interference variable, analyzes a threshold over-area, a threshold duration and a peak value, and generates an interference risk index; and the test evaluation module calculates a total evaluation value and a threshold super-window proportion by combining the risk indexes of the windows, and divides safety levels. According to the invention, multi-parameter dynamic coupling simulation is realized, different types of interferences are accurately captured, a full-period dynamic evaluation system is constructed, and the accuracy of electromagnetic safety performance judgment of equipment is improved.

Embodiments of the invention disclose a document classification method and apparatus, a device and a medium. The method comprises the steps of obtaining a pre-generated classification corpus; obtaining a field vocabulary of the specified enterprise; obtaining keywords of the documents based on relevancy between preset vocabularies in the field vocabulary and the documents; respectively converting the training set documents and the test set documents in the plurality of document features into a first feature vector of each training set document formed by the relevancy of the keywords of the training set documents and a second feature vector of each test set document formed by the relevancy of the keywords of the test set documents; based on the first feature vector of each training set document, training to obtain a document classifier, the document classifier being constructed through a machine learning model; testing and evaluating the document classifier based on the second feature vector; and if the document classifier passes the test evaluation, deploying the document classifier so as to classify the newly added documents in the classification corpus through the document classifier.

Systems and methods for testing, evaluating, and scoring IT products (e.g., software) and product updates from a technology provider are disclosed herein. More specifically, organizational assessment may be performed to evaluate the provider's development lifecycle processes and generate organization maturity scores. Architecture assessment may be performed to evaluate the system-level and software-level architectures associated with the application and generate architecture maturity scores. Product verification may be performed via automated testing and penetration testing to generate verification maturity scores. The organization maturity scores, architecture maturity scores, and verification maturity scores may be used to provide recommendations to the provider and also combined into an overall maturity score, which may serve as a comprehensive summary of the evaluation. These generated scores inform and expedite testing of future iterations of the product.

The invention discloses a cryptographic algorithm and protocol test system, the system is configured into two deployment modes: a transparent mode and a man-in-the-middle mode, the transparent mode can hide an IP or MAC address of a device, and certificate and algorithm information in a cryptographic protocol is identified and analyzed through a passive traffic analysis mode; the man-in-the-middle mode provides a dynamic packet changing function, realizes a dynamic interaction function with a server in an agent mode, can be used for application scenarios such as identity authentication, data encryption and decryption, protocol vulnerability analysis and performance test, can effectively improve the evaluation integrity and accuracy of a cryptographic algorithm and a cryptographic protocol, forms a complete and accurate test evaluation evidence chain, and improves the evaluation efficiency of the cryptographic algorithm and the cryptographic protocol. And the detection evaluation result is effectively supported. The system can be accessed to a production network to capture, identify and analyze network traffic, so that an international / national cryptographic algorithm and protocol security analysis function is realized, and verification and analysis on compliance, correctness, effectiveness and the like of password application in an important network and information system can be realized.

The invention provides a digital twinborn simulation test method and system applied to a building system, and the method comprises the steps: firstly, carrying out the construction processing of a knowledge graph of physical parameters of the building system, generating a physical parameter knowledge graph comprising structure, equipment, environment parameter nodes and a plurality of correlation edges, and then constructing a digital twinborn graph model based on the knowledge graph, the method comprises the following steps of: generating a graph test scene configuration sequence according to a model, including a node parameter disturbance rule and the like, executing a graph coupling simulation test by inputting the sequence into the model, and generating a graph test response data set including a node response sequence and the like; and finally, outputting a digital twin simulation test evaluation report based on the data set, wherein the report covers node response characteristics and the like. According to the method, the building system is comprehensively and accurately simulated, and the test efficiency, accuracy and comprehensiveness are improved.

The invention provides a composite material bearing structure storage life evaluation method considering an acceleration stress lower limit, and the method comprises the steps: 1, carrying out the initialization modeling: enabling the service life of a product to obey the logarithmic normal distribution, and building a three-parameter inverse power law acceleration model of the service life feature theta and the stress level S; 2, estimating parameters: estimating unknown parameters by applying a maximum likelihood estimation method for the three-parameter inverse power law acceleration model; 3, model selection: comparing the calculated likelihood function values, wherein the larger the likelihood function value is, the more stable and more accurate the model is; meanwhile, the variation coefficients of the acceleration factors are calculated in combination with test data for comparison, and the model with the small variation coefficient is more accurate; and 4, accelerated life evaluation: giving reliability, and evaluating the storage life of the three-parameter inverse power law model. The method is suitable for accelerated test evaluation of a product with a threshold effect; the three-parameter inverse power law model provided by the invention can show a better model fitting effect when the acceleration effect does not meet the linear characteristic.

The invention provides a performance test and evaluation method, system and device for a power grid credential environment and a medium, and the method comprises the steps: obtaining real-time data of each node through employing a distributed test probe and a data flow distribution strategy, and constructing a digital twinborn body of the power grid credential environment; the digital twin body comprises twin nodes corresponding to the nodes; extracting multi-dimensional performance test data of each twin node under the performance test load by adopting a classification dimension convergence method; and based on the performance test prediction data of each twin node, performing risk assessment on each twin node by adopting an entropy weight-comprehensive sorting algorithm. According to the method, dynamic load balance of each node is ensured through a data traffic distribution strategy, normal operation of the power grid credential environment is prevented from being influenced during test evaluation, and the method is suitable for a complex scene in which the power grid credential environment is easily impacted by a high load; data evaluation is carried out through performance test prediction data, data exception can be captured, and potential performance risk bottlenecks of a power grid credential environment can be found in advance.

The invention provides a GIS equipment withstand voltage test system and method, and relates to the technical field of GIS equipment withstand voltage test. Comprising the steps of obtaining parameter information and installation environment data of GIS equipment, constructing a three-dimensional digital twinborn model of the GIS equipment in combination with an electric field simulation engine, generating a withstand voltage test scheme and planning an optimal path. Acquiring partial discharge data and insulation resistance data under different voltage stresses by using an AI noise reduction algorithm according to the optimal path, carrying out multi-modal fusion processing on the partial discharge data and the insulation resistance data, extracting features by using a deep learning model, obtaining insulation defect and performance attenuation data, and carrying out multi-modal fusion processing on the insulation defect and performance attenuation data. And carrying out space mapping association with the three-dimensional digital twinborn model to generate a GIS equipment withstand voltage test evaluation report, thereby providing a powerful basis for equipment operation and maintenance. According to the invention, the three-dimensional digital twinborn model is constructed to generate the GIS equipment voltage withstanding test evaluation report, so that the accuracy of the GIS equipment voltage withstanding test is improved.

The invention relates to the technical field of intelligent automobile test and evaluation, in particular to an intelligent networked automobile automatic driving performance evaluation method based on simulation test, which comprises the following steps: S1, generating a reference steady-state traffic flow in a simulation platform; s2, injecting traffic flow disturbance parameters into the reference steady-state traffic flow, and recording whole-course operation data of the reference steady-state traffic flow; s3, extracting performance indexes of the tested vehicle; s4, calculating a deviation degree, and quantifying the deviation degree as a performance attenuation rate; s5, performing weighted fusion to obtain a comprehensive disturbance tolerance index; and S6, outputting an evaluation conclusion of the automatic driving performance of the tested vehicle according to the comprehensive disturbance tolerance index. According to the method, the reference traffic flow is constructed, the disturbance is injected, the performance attenuation rate is quantified, and then the disturbance tolerance index is generated through weighting, so that objective, comparable and interpretable comprehensive evaluation of the automatic driving performance of the intelligent networked automobile is realized.

The invention discloses an automatic driving scene library dynamic generation method based on multi-modal data fusion, belongs to the field of automatic driving testing, and solves the problems of insufficient coverage of extreme working conditions, data splitting and single evaluation of a static scene library. According to the technical scheme, the method comprises the following steps: establishing a distributed data acquisition layer, and accessing a vehicle-mounted terminal and a V2X roadside equipment data stream through a federated learning framework; constructing a multi-modal semantic coding layer, fusing data extraction features, converting laser radar point cloud data into a space-time constraint matrix, and outputting a scene DNA coding sequence; deploying a dynamic evolution engine, mapping the DNA coding sequence into a traffic flow state parameter, and calculating an entropy gradient field; and starting a virtual-real co-occurrence scene generator, receiving the coordinates of the high-entropy region and the physical interference intensity parameters, performing simulation to generate a controlled physical interference test scene, injecting a group interaction rule based on behavior uncertainty, and finally outputting a dynamically updated scene library and a risk report for automatic driving system test evaluation.

The invention provides a storage equipment testing method and device and electronic equipment, and can be applied to the technical field of computers. The method comprises the steps that an initial test script is executed, target configuration parameters and target test strategies of the storage device are obtained, the initial test script comprises a diagnosis script and a test strategy matching script, the target configuration parameters are obtained by executing the diagnosis script, and the test strategy matching script is used for selecting the target test strategies based on the target configuration parameters; according to the target configuration parameters and the expected use duration of the equipment, a target test period is determined, and the target test period is a test period obtained after an initial test period in the initial test script is compressed; and obtaining a test evaluation report by using test execution information obtained by testing the storage device based on the target test period and the target test strategy.

The invention discloses a multi-protocol compatible intelligent test method and system for a power distribution automation terminal, and relates to the technical field of power distribution terminal test. The method comprises the following steps: acquiring basic information and historical test data of a tested terminal; automatically identifying and matching a communication protocol through a multi-protocol adaptive identification model, and generating a protocol conformance test template; according to the template, executing signal injection and collecting real-time response data, and calculating a terminal response matching degree and a protocol analysis accuracy parameter; and inputting the parameters into the test result evaluation model, and outputting a test result. Comprising an information acquisition module, a protocol identification and template construction module, a test execution and data acquisition module and a test evaluation module. According to the invention, automatic identification, standardized testing and intelligent evaluation of the multi-protocol terminal are realized, the testing efficiency, consistency and accuracy are improved, and the method is suitable for testing and diagnosis of distribution automation terminals of different models.

The invention discloses a special vehicle driving task performance and sitting posture comfort coupling-oriented test evaluation system and method, and the system comprises a data collection module which is used for obtaining multi-modal driving data; the index calculation module is used for extracting and quantifying characteristic indexes from the multi-modal driving data to obtain a driving task performance evaluation index set and a driving sitting posture comfort evaluation index set; the comprehensive evaluation and time domain modeling module constructs a driving task performance-sitting posture comfort coupling-oriented comprehensive quantitative model based on the driving task performance quantitative model and the driving sitting posture comfort quantitative model; and finally, comprehensively scoring the state of the driver by using the comprehensive quantitative model, and establishing a nonlinear mapping relationship between the driver state comprehensive score and the task time to obtain a dynamic change trend of the driver state comprehensive score.

The invention provides a composite material connection structure marine environment acceleration test evaluation method and system based on environmental parameter equal ratio conversion. The method comprises the steps of determining marine atmospheric environment factors influencing performance degradation of the composite material connection structure, determining acceleration test modules, constructing a marine atmospheric environment spectrum, performing equivalent conversion on acceleration test parameters of the acceleration test modules, and performing environmental damage grade evaluation on the composite material connection structure. The system executes the above steps by means of a computer program. According to the method, a specific acceleration test parameter equivalent conversion technical scheme in which the test time is proportionally distributed is creatively adopted for the first time, and the damage process of the marine atmospheric environment of the composite material connection structure can be more accurately reproduced and evaluated in cooperation with a specific environment damage grade evaluation mode of the composite material connection structure.

The invention discloses a simulation test system and method for a visual perception module of an automatic driving system, and the system comprises a sample generation module which is used for generating a confrontation sample; the data fusion module is used for determining a filtering algorithm based on the system type of the automatic driving system and fusing the confrontation samples based on the filtering algorithm so as to output a fusion data set of space-time fusion; the multi-dimensional test module is used for performing multi-dimensional test on the fused data set based on the visual perception module to obtain a multi-dimensional test result; and the test evaluation module is used for comparing the multi-dimensional test result with the test standard data to obtain a comparison result, obtaining a test result of the visual perception module based on the comparison result, forming confrontation samples under multiple scenes, inputting a fusion data set with the confrontation samples into the visual perception module, and outputting the test result of the visual perception module. Therefore, the robustness and safety of the visual perception module can be comprehensively and accurately tested and evaluated.

The invention provides a satellite-borne router network access test system and a test method thereof. The satellite-borne router network access test system comprises a constellation network node simulation platform, a performance test evaluation platform, an interface protocol conversion device, a constellation service traffic simulator and a network router digital model. Through joint simulation of the virtual nodes and the physical nodes, a simulation test platform can be provided for design and optimization of the satellite-borne router through scene simulation of a complex satellite network environment in a design stage, and the development efficiency is improved; on the other hand, in the product development and system test stage, the full-constellation operation scene can be simulated, the function and the performance of the satellite-borne router can be assessed and verified in the full-constellation scene in the ground environment, the method is particularly suitable for the low-orbit large-scale batch emission large-scale networking scene, the test coverage and the test effectiveness of the product are greatly improved, and the test cost is reduced. Development risks of insufficient verification, delayed verification time and the like before launching are effectively released, and meanwhile, the test verification cost is reduced.

The invention discloses an automatic test and evaluation method of a load identification algorithm, and discloses a system with the automatic test and evaluation method of the load identification algorithm. According to the automatic test and evaluation method of the load identification algorithm, system construction is carried out from three aspects of test scene construction, scene complexity grading and intelligent evaluation, and self-adaptive construction and complexity calculation of a load identification test scene and multi-dimensional evaluation of the load identification algorithm are realized. The training and verification of the load identification model can complete standardized test evaluation without depending on a large amount of home-entry actual measurement data, the problems that a traditional method is single in test scene, scene complexity cannot be evaluated, and evaluation standards are not uniform are solved, and the quantifiable evaluation level and engineering application reliability of the load identification technology are effectively improved.

The invention discloses an intelligent evaluation method and device for multi-modal test data. The method comprises the following steps: acquiring a multi-modal test data set in an equipment performance test process; the multi-modal test data set comprises a multi-source data subset of each technical index measured in an equipment performance test process; preprocessing the multi-modal test data set to obtain a preprocessed data set; performing fusion evaluation on the multi-source data subset of each technical index in the preprocessed data set to obtain an evaluation value of each technical index; and performing comprehensive performance evaluation processing on the evaluation values of all the technical indexes to obtain a test evaluation value of the equipment performance. According to the intelligent evaluation method, weight distribution can be flexibly adjusted according to the characteristics of different technical indexes, so that the accuracy and reliability of an evaluation result are remarkably improved, and powerful support is provided for comprehensive evaluation of equipment performance.

The invention relates to the technical field of software test evaluation, and discloses a database software test result-based intelligent evaluation system, which comprises a data acquisition module, an intelligent analysis module, an evaluation decision module, a display storage module and a scene adaptation module. Multi-source test data is acquired and cleaned through the data acquisition module, the intelligent analysis module constructs a causal atlas by using time sequence grouping intervention, metadata driving association and scene clustering, the evaluation decision module forms a three-dimensional evaluation model, and the display storage module realizes natural language report and visual interaction. Meanwhile, by means of a scene adaptation module and an incremental learning ability dynamic optimization evaluation strategy, the root cause positioning efficiency can be improved, the evaluation error can be reduced, the real-time evaluation requirement can be met, multi-source data integration and model self-evolution are achieved, and a solution is provided for database test evaluation.

The utility model relates to a quantitative analysis device for asphalt mixture interface adhesion performance based on three-dimensional scanning, and belongs to the technical field of building material detection. The garbage can comprises a cylindrical can body with a cover, wherein the side surface part of the can body is hollowed; a cross-shaped guide rail is arranged on the inner surface of an upper cover of the cylindrical can body with the cover, the straight-barrel-type electric telescopic rod is connected with a sliding block of the cross-shaped guide rail, and a hook is arranged at the bottom of the straight-barrel-type electric telescopic rod. A semi-ring-shaped guide rail is arranged on the inner wall of the cylindrical can body with the cover, the U-shaped clamp is connected with a sliding block of the semi-ring-shaped guide rail through a transverse connecting rod, and the non-contact three-dimensional laser scanner is clamped in the U-shaped clamp. The bottom of the cylindrical barrel body with the cover is provided with two constant-temperature electric heating furnaces which are distributed at an interval, and the two constant-temperature electric heating furnaces are respectively provided with a beaker. The asphalt-aggregate adhesion performance evaluation test device can simplify the steps of the asphalt-aggregate adhesion performance evaluation test, improves the defects in the original test evaluation method, and can better adapt to the engineering characteristic evaluation of the asphalt in the construction site environment.

The invention provides an aero-engine cold end disc life test evaluation spectrum compilation method and system, and the method comprises the steps: obtaining an actual measurement flight profile of a target engine, carrying out the rain flow counting and filtering preprocessing, and extracting a load cycle average amplitude pair; dividing a secondary cycle into multi-stage loads based on clustering analysis, and reducing the dimension of a two-dimensional load spectrum into a one-dimensional load spectrum through equivalent conversion; and determining the load frequency of each stage by combining an equal damage principle and an equal area method, and finally generating a test evaluation spectrum containing a main cycle and a secondary cycle. According to the method, through primary and secondary cycle separation, load grade clustering and low-high-low loading sequence design, distribution characteristics and sequence effects of actual loads are fully simulated, the problem that secondary cycle influences are ignored in an existing method is solved, the precision of a cold end disc service life test is remarkably improved, and a reliable basis is provided for determining and prolonging the service life of an aero-engine.

The invention discloses an adaptive cruise function test method and device, electronic equipment, a medium and a product. The method comprises the following steps: in a pre-constructed test scene, acquiring surrounding environment information of a test vehicle to obtain environment sensing data; constructing a vehicle surrounding environment model according to the environment perception data; according to the vehicle surrounding environment model and a preset adaptive cruise control strategy, adaptive cruise control is carried out; acquiring operation data generated when adaptive cruise control is carried out in the test scene; and analyzing the operation data according to a preset performance index to obtain a test evaluation result for evaluating the performance of the adaptive cruise control system. The method can solve the problem that a traditional adaptive cruise test method is insufficient in test coverage in a complex dynamic scene.

The invention discloses a test method and device for a doctor-patient dialogue model, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a to-be-tested model and a preset patient simulator, and providing a model and a tool for simulating a patient for the test; a simulation system is generated by combining the two to realize dialogue operation; scene test data, user portrait data and dynamic adjustment rules are obtained, multi-scene test and user features are defined, and the dynamic adjustment rules are stipulated to be close to reality; dialogues are simulated based on data and rules, multi-round dialogue data of multiple scenes and multiple user features are generated, and a basis is provided for evaluation; according to the method, the dialogue scoring rule is obtained, a standard is provided for quantitative evaluation of dialogue quality, multiple rounds of simulation dialogues are scored according to the rule, a test result of the to-be-tested doctor-patient dialogue model is obtained, and the technical problem that the dialogue quality of the doctor-patient dialogue model cannot be accurately evaluated is solved. The technical effect of improving the test evaluation accuracy of the doctor-patient dialogue model is achieved.