165 results about "Test evaluation" patented technology

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 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 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 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 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 ship intelligent navigation digital simulation method and system, and relates to the technical field of intelligent navigation and digital simulation, and the method comprises the following steps: 1, receiving a test task submitted by a user, the test task comprising task basic information, tested object information and scene configuration information; 2, calling a digital simulation model based on the scene configuration information, wherein the digital simulation model comprises a ship dynamics model, an environment model and a navigation algorithm model; 3, executing a test task, and collecting ship motion data, environment data and decision control data in real time in a simulation process; 4, processing and analyzing the collected data, and generating a test evaluation report; and 5, displaying the simulation process and result in real time through a visualization module.

The invention discloses a test method of refrigeration equipment, a controller and a test device. The method comprises the following steps: determining a first temperature value of a target chamber of the refrigeration equipment; the first temperature value is determined by temperature values of a plurality of preset temperature measuring points in the target chamber under the no-load condition; determining a second temperature value of a target chamber of the refrigeration equipment; the second temperature value is determined by the temperature values of a plurality of preset temperature measuring points in the target chamber under the loading condition; and the temperature stability of the target chamber is determined according to the first temperature value, the second temperature value and a test evaluation standard corresponding to the current loading condition of the target chamber. A first temperature value of a target chamber under a no-load condition and a second temperature value of the target chamber under a loading condition are respectively measured, and the temperature stability of the target chamber is determined based on the first temperature value, the second temperature value and a test evaluation standard corresponding to the current loading condition of the target chamber. Therefore, the capability of maintaining the temperature stability of the target chamber under the specific loading condition can be determined.

Embodiments of the present specification provide a test processing method and device, wherein the test processing method comprises: determining an abnormality prevention and control index of a first test terminal by means of object features and relationship features of an abnormality occurrence terminal and aggregated object features in a model training process of a graph embedding model through federated learning; determining a relationship state between objects in an object set of a second test terminal corresponding to an abnormality occurrence server by means of object features of the second test terminal, and determining an abnormality prevention and control index of the second test terminal according to the relationship state; and sending the abnormality prevention and control index of the first test terminal and the abnormality prevention and control index of the second test terminal to a test evaluation platform.

The application provides a pre-training-fine-tuning-based precipitation runoff time series simulation method, and belongs to the field of hydrological simulation. First, a consistent hydro-meteorological data set for global multi-basin pre-training and target basin fine-tuning is obtained, an LSTM runoff prediction model is constructed, a base model parameter weight is obtained through global multi-basin pre-training, the base model parameter weight is migrated to the target basin, the LSTM network layer parameter is frozen and only the regression output layer is fine-tuned, and test evaluation is carried out in the target basin. The application learns the transferable hydrological response on a large sample of global multi-basins first, and then performs light fine-tuning in the target basin, which can effectively improve the prediction accuracy and cross-region generalization ability in the data scarce area, and is convenient for rapid deployment.

The application relates to the field of impact dynamics tests, and particularly discloses an electronic instrument high-g-value impact characteristic test evaluation device and method. The device comprises an adapting section, a pulse shaper, and a base. The adapting section is coaxially connected with the tail of a high-speed gas gun launch tube to form a radially constrained loading channel and is movably connected with an impact mass. The pulse shaper is arranged in the adapting section. The base is slidably connected in the adapting section and located behind the pulse shaper, and is used for bearing the load transmitted by the impact mass when the impact mass hits the pulse shaper. The base has a front cavity and a rear cavity, and the rear cavity contains a measuring body. A diaphragm pressure gauge is arranged on the front end impact surface of the base, a base accelerometer is arranged in the front cavity, and a multi-parameter sensor is arranged in the measuring body. The device can accurately obtain an excitation load, realize distributed synchronous measurement of multiple physical quantities, has reliable signal line protection and kinetic energy absorption mechanism, and improves the accuracy and reliability of performance evaluation of electronic instruments and protective components of the electronic instruments under a high-g-value impact environment.

The present invention aims to improve the efficiency of automobile development by front loading the evaluation of an on-road driving test, and comprises a virtual evaluation step of simulating the on-road driving test using a driving environment model which models a driving environment, an operating state model which models an operating state, and a vehicle model which models the actual vehicle; a bench test evaluation step of imitating the on-road driving test by combining a part or all of the actual vehicle, a part or all of the vehicle model, a part or all of the driving environment model, and a part or all of the operating state model, and conducting a bench test of a part or all of the actual vehicle, and an on-road driving test evaluation step of conducting the on-road driving test of the actual vehicle in a real driving environment.

The invention discloses a low-cost rapid test system for an ultrahigh-precision analog-to-digital converter, and the system comprises an upper computer which is used for generating and outputting a test instruction; according to analog-to-digital conversion results output by the to-be-tested ADC under different excitation voltages, differential linear errors and integral linear errors of the to-be-tested ADC are obtained through calculation; the test evaluation board is used for applying different excitation voltages to the to-be-tested ADC according to the test instruction; analog-to-digital conversion results output by the ADC to be tested under different excitation voltages are uploaded to the upper computer; and the power supply module is used for supplying power to the test evaluation board. According to the test system, the requirement that the resolution ratio of the excitation source is higher than that of the to-be-tested ADC is not put forward, and compared with a histogram method, the number of required samples is greatly reduced, so that the economic cost and the time cost can be reduced, and the test efficiency of the ultra-high-precision ADC is improved.

The application provides a kind of intelligent cockpit multi-modal test method, system, equipment and medium, comprising: obtaining the original state information of cockpit and cockpit instruction signal, then based on original state information, using generative adversarial network to generate multi-modal dynamic noise;Multi-modal dynamic noise is used to interfere with cockpit instruction signal, and multi-modal interference signal is generated;Action detection system is constructed, and the multi-modal interference signal is identified and analyzed using the action detection system, to generate evaluation results.The application solves the problem that the test evaluation of the test method in the prior art has a single mode and it is difficult to evaluate the overall performance of the cockpit.

The invention relates to the technical field of data processing, in particular to a wire harness test data processing method and system based on artificial intelligence. The method comprises the following steps: acquiring test signals of a wire harness in a set time period under a plurality of different test times, and preprocessing the test signals to obtain preprocessed test signals; extracting a feature vector of the test signal; the feature vector comprises a plurality of dimension features; the features of the same dimension under different test times form a feature sequence of the features of the corresponding dimension; fusing all features in each feature vector to obtain a corresponding dynamic health index; and inputting the sequence of the dynamic health indexes of the wire harness into the network prediction model to obtain the residual life of the wire harness under the current test frequency, thereby realizing test evaluation of the wire harness. According to the scheme, the service life of the wire harness can be accurately tested.

The invention relates to a front vehicle starting reminding function test and evaluation method and device, and relates to the technical field of front vehicle starting reminding function test. According to the invention, test equipment is constructed by using a test vehicle, a reference vehicle, master-slave inertial navigation equipment and an industrial personal computer; wherein a master inertial navigation device for testing is configured for the test vehicle, and a slave inertial navigation device for testing is configured for at least one reference vehicle; for any combination of the test vehicle and the reference vehicle, performing relative calibration on the master and slave inertial navigation equipment to compensate errors between the inertial navigation equipment; combining the starting scene and the reference vehicle starting condition to obtain a test condition of a front vehicle starting reminding function of the vehicle; according to each test condition, executing a front vehicle starting reminding function test of the vehicle, and obtaining a front vehicle starting reminding function test evaluation index of the vehicle; and creating a quantitative comprehensive evaluation model to perform evaluation based on the evaluation index of the vehicle preceding vehicle starting reminding function test so as to obtain a quantifiable objective evaluation result of the vehicle preceding vehicle starting reminding function test.

The invention relates to the technical field of intelligent driving automobile sensing system evaluation, and relates to an intelligent sensing system credibility multi-dimensional test evaluation method. The method comprises the following steps: firstly, acquiring basic test scene data, and determining extended test scene data based on interference scene factors; and performing a vehicle automatic driving test, determining perception data of the intelligent perception system, and determining an evaluation result of the intelligent perception system according to an evaluation method based on the perception data. And determining an optimization model based on expert priori experience. And solving the optimization model by adopting a genetic algorithm, and determining an evaluation result weight. And determining the credibility of the intelligent sensing system according to the evaluation result weight and the evaluation result. According to the scheme, expert prior experience and genetic algorithm optimization are combined, domain knowledge is utilized, subjective deviation is avoided through objective optimization, weight distribution of all indexes better meets actual requirements, and the accuracy of credibility evaluation is improved.

The present application relates to the technical field of device testing, and discloses a battery test environment control method, system, device, computer equipment and medium, wherein the method provided by the present application considers the temperature of different test points of a battery to be tested and the temperature and humidity of a test environment when controlling the temperature of the test environment, determines a target temperature value based on the temperature of different test points of the battery to be tested, determines a target electric power of a temperature control device based on the target temperature value and the temperature and humidity in the test environment, controls the output power of the temperature control device in the test environment based on the determined target electric power, effectively controls the temperature rising and falling rate in the test environment, avoids the occurrence of condensed water in the test environment, efficiently ensures the consistency of the temperature of each part of the battery, and safely and accurately ensures the performance test and evaluation of the battery in a high-temperature or low-temperature environment.

The invention relates to the technical field of test evaluation, in particular to a semi-physical simulation system test confidence coefficient online evaluation and guarantee method, which comprises the following steps of: recording asynchronous abnormal events in real time, and generating a local asynchronous event sequence which serves as basic data of subsequent confidence coefficient weakening; calculating a confidence weakening factor of each local confidence unit, reflecting the real influence degree of the asynchronous abnormal event in the local region, and outputting a local confidence evaluation result; according to the method, the overall test credibility is subjected to decreasing type recombination, an overall credibility structure capable of indicating a local abnormal position is formed, the situation that the test is misjudged to pass when asynchronous abnormity exists is avoided, and abnormal positioning information for backtracking and an independent local confidence record are generated. According to the method, the structural decline mode not only improves the response capability of the overall assessment to the chain propagation risk, but also realizes the conversion of credibility calculation from static weighting to dynamic conduction.

The invention relates to the technical field of coating stone impact resistance testing, and provides a coating stone impact resistance testing evaluation method and system based on AI assistance. According to the method, a tested sample image is obtained, an image processing algorithm is utilized to automatically identify a damage area and distinguish different damage depth levels (such as finish paint, electrophoresis layer and metal substrate damage), and then comprehensive damage degree parameters are calculated based on damage area proportion and depth information. And finally, generating an automatic evaluation result (such as a digital rating or a visual report) by comparing a preset rating standard. According to the method, full-process automatic evaluation is realized, subjective factor interference is eliminated, the objectivity, accuracy and efficiency of evaluation are remarkably improved, and reliable and repeatable technical support is provided for coating performance detection.

The present disclosure relates to an artificial intelligence-based descriptive test evaluation system. An artificial intelligence-based descriptive test evaluation system according to one embodiment of the present disclosure can have fairness and objectivity in the evaluation of descriptive tests by having an artificial intelligence module analyze descriptive test question information to generate and evaluate descriptive test evaluation criteria.

The invention discloses a combined desulfurization device which comprises a raw material gas mixing tank, a raw material gas compressor, a gas buffer tank, an absorption tower I, an absorption tower II, a constant-temperature water bath, an atomization tank, a solution booster pump and a gas liquid separation tank, the input pipe is provided with a first branch pipe connected with the first absorption tower and a second branch pipe connected with the second absorption tower, the first absorption tower is provided with a first output pipe and a second output pipe, the first branch pipe, the second branch pipe, the first output pipe, the second output pipe and the atomization tank are all provided with valves, and the first absorption tower and the second absorption tower are arranged in the constant-temperature water bath. The solution booster pump is connected with the atomization tank through a pipeline; a desulfurizing agent is introduced into the absorption tower I, the absorption tower II and the solution booster pump. The combined desulfurization device has the beneficial effects of multiple desulfurization modes and flexibility in use. The invention further discloses a test evaluation device and a test evaluation method. The test evaluation device and the test evaluation method have the beneficial effects that evaluation is convenient, and the most suitable desulfurization method is quickly selected.

The invention provides the application of the test method in testing the rolling contact fatigue performance of the steel rail material in a humid and / or corrosive environment. The invention also provides a test method for testing the rolling contact fatigue performance of the steel rail material, which comprises the following steps: preparing a steel rail test sample, simulating a humid and corrosive environment, and carrying out a double-wheel rolling contact fatigue test according to test requirements; and evaluating the contact fatigue performance of the sample through weightlessness, vibration signals and the surface state of the sample. The test mode better conforms to the actual service condition of the steel rail line in the humid and corrosive environment, and the test result is more accurate and effective. The steel rail material rolling contact fatigue test method provided by the invention can evaluate the contact fatigue performance of multi-steel-grade steel rails in a humid and corrosive environment, and parameters such as corrosive liquid and test pause interval time can be adjusted according to actual requirements. The method is suitable for test evaluation of various service conditions such as coastal, tunnel and plateau, and has a good application prospect.

The present application relates to the technical field of intelligent driving car perception system evaluation, and relates to a kind of intelligent perception system credibility multidimensional test evaluation method.First, each basic test scene data is acquired, and each interference scene factor is determined based on each extended test scene data.Vehicle automatic driving test is carried out, the perception data of intelligent perception system is determined, and based on the perception data, according to the evaluation method, the evaluation result of intelligent perception system is determined.Based on the prior experience of experts, an optimization model is determined.Genetic algorithm is used to solve the optimization model to determine the weight of the evaluation result.According to the evaluation result weight and the evaluation result, the credibility of the intelligent perception system is determined.This scheme combines the prior experience of experts and genetic algorithm optimization, which not only utilizes the domain knowledge, but also avoids subjective bias through objective optimization, so that the index weight distribution is more in line with the actual demand, and the accuracy of the credibility evaluation is improved.

The invention relates to the technical field of coal mine tunnel support, and provides a loading and unloading test evaluation method for a coal mine spraying support material surrounding rock control effect, which comprises the following steps of: determining a data feature vector according to loading and unloading test data of a spraying support material surrounding rock and a non-spraying support material surrounding rock; inputting the data feature vector into a loading and unloading test evaluation model, outputting a loading and unloading test control effect probability distribution vector by the loading and unloading test evaluation model, and determining a loading and unloading test control effect grade according to the loading and unloading test control effect probability distribution vector. Scientific evaluation on the surrounding rock control effect in the loading and unloading circulation process of the surrounding rock sprayed with the support material is achieved, and a more accurate experimental basis is provided for long-acting support design of a deep high-risk roadway.

The invention discloses a scene complexity-fused automobile driving test evaluation method, which comprises the following steps of: constructing a scene database, acquiring a plurality of driving scenes and storing the driving scenes in the scene database; a plurality of driving scenes are selected to be combined into a complex scene, the scene complexity of the complex scene is evaluated, and road requirements are generated according to the complex scene; constructing a digital twinborn model of the to-be-tested automobile, carrying out a virtual driving test in a complex scene based on the digital twinborn model, and obtaining virtual test data; setting a test road based on road requirements, performing actual driving test on the to-be-tested automobile on the test road, and obtaining actual test data; perception performance parameters, decision performance parameters and control performance parameters are respectively calculated according to the virtual test data and the actual test data, test evaluation is carried out in combination with scene complexity, and the performance of an automobile can be evaluated from multiple dimensions by contrasting and analyzing the virtual test data and the actual test data in a complex scene, so that optimization is facilitated.

The invention provides a method and a device for evaluating usability of a panoramic looking-around system, a terminal and a medium. The method comprises the following steps: acquiring a plurality of test tasks of the panoramic looking-around system and test evaluation indexes for evaluating the plurality of test tasks; according to the test task, test environment parameters are set for a whole vehicle optical test platform, subjective scoring data and objective test data are obtained, and objective scoring data are obtained according to the objective test data; analyzing correlation intensity between a subjective evaluation index and an objective evaluation index based on the subjective scoring data and the objective scoring data to obtain objective forward close degree data and net correlation intensity data; and obtaining system usability according to the subjective score, the objective score, the objective forward close degree data and the net correlation intensity data. The fusion degree of technical parameters and user perception is improved, the evaluation dimension of the panoramic looking-around system is improved, and the evaluation effect of the panoramic looking-around system is improved.

The invention belongs to the technical field of network security, and discloses a network security test and evaluation system and method, and the system comprises an asset and topology automatic discovery module, a threat behavior simulation and attack chain generation module, a security configuration difference analysis module, a risk quantification and evaluation module, and a linkage protection and verification module. The system recognizes network assets and the dependency relationship thereof through passive traffic analysis and active exploration, generates an attack surface model based on an asset structure, constructs a candidate attack chain by using a heuristic search method, and executes threat simulation operation in a controlled environment. The system can also perform difference analysis on the actual configuration of the target asset and the baseline, calculate a risk index in combination with a simulation result, and automatically trigger a protection measure and verify the effectiveness when the risk reaches a threshold value. According to the method, continuous, real and reproducible security assessment can be realized in a complex network environment, and the risk discovery capability and the reliability of a protection strategy are improved.

The invention discloses a test method and system for a visual perception part assembly of an unmanned system, and the system comprises a weakness feature estimation module which is used for constructing a visual perception weakness map based on the performance bottleneck data of a visual target recognition model; the test case construction module is used for calling an element library to match a test case set corresponding to the visual perception weakness atlas; the scene generation and deployment module is used for deploying each test case in the test case set as an entity or virtual-real fused test scene deployment instance; the sensing component test execution module is used for controlling the unmanned platform carrying the visual sensing part component to execute test operation in the scene deployment instance; the evaluation feedback module is used for testing and evaluating the generated task operation data, the perception recognition result and the corresponding truth value labeling data; and the visual perception weakness atlas is optimized based on a test evaluation result. Therefore, the system improves the robustness evaluation capability of the visual perception part assembly under the boundary condition.

The invention relates to an indoor test evaluation system and method for simulating the grouting effect of a fractured stratum. The indoor test evaluation system comprises a simulation base body module, a customizable fracture generation module, a grouting module, a core drilling sampling module and a multi-dimensional analysis module. Utilizing a customizable fracture generation module to prepare a simulated matrix module of a fracture containing preset geometric and morphological parameters; a grouting material to be evaluated is poured into the crack through the grouting module; after the grouting material is solidified, systematic core drilling sampling is carried out in the characteristic area containing the crack according to a pre-designed spatial position and direction strategy; the multi-dimensional analysis module is used for carrying out multi-dimensional and multi-scale testing and analysis on the core sample, and the filling efficiency, the interface bonding quality and the reinforcing effect of the grouting material on the crack are comprehensively evaluated. According to the invention, the geometrical parameters and mechanical environment of the'crack 'can be accurately controlled, and quantitative and visual comparison evaluation of different grouting materials, different proportions and different grouting process effects can be realized.

The application discloses a kind of test operation management systems suitable for automobile temperature sensor, belong to automobile temperature sensor test evaluation technical field, the application is by static test module, dynamic test module respectively to temperature sensor by static to dynamic many aspects are tested, rely on static test obtains temperature sensor in stable condition under temperature difference float value, voltage difference float value, and comprehensive analysis will test object be divided into qualified object and object to be detected, that is, before carrying out dynamic test, screening is carried out, then rely on dynamic test obtains temperature sensor in unstable condition under normal thermal response coefficient, normal linear coefficient, and dynamic performance coefficient is generated from the two, whether the performance detection of qualified object meets the requirement according to dynamic performance coefficient is judged and analyzed, in addition, in the process of testing, abnormal test results are checked and analyzed by static investigation module, dynamic analysis module, effectively improve test accuracy.