128 results about "Evaluation testing" patented technology

The present invention relates to equipment that can realistically reproduce various types of airflow occurring in environments such as an urban area with tall buildings or regions with mountains and valleys, thereby enabling verification of the flight safety of a multicopter-type drone. The present invention comprises: a housing that provides a tunnel-shaped test space in which a plurality of blowers, together with controllers, are installed along the longitudinal direction of both sidewalls of the interior, the ceiling, and the floor, to generate airflows such as crosswinds, updrafts, downdrafts, and vortices; and an integrated control unit that selectively or simultaneously controls some or all of the plurality of controllers installed in the housing so as to form airflows in pattern corresponding to user input or settings.

The invention relates to the technical field of software testing, and discloses an agent-based multi-dimensional test sample automatic generation method and system.The agent-based multi-dimensional test sample automatic generation method comprises the steps that code changes are captured, interface definitions are extracted, and multi-source data are fused for consistency verification; constructing a multi-dimensional dependency graph and analyzing the change influence to obtain an associated interface list; generating a multi-dimensional test scene; performing parameter traceability and consistency derivation, and initializing test data and environment to obtain a complete test data set; generating a use case code, and performing hierarchical optimization and executable verification; test arrangement optimization and automatic execution are carried out, and faults are monitored and diagnosed in real time; carrying out multi-dimensional analysis and defect identification, dynamically evaluating the value of a test case and optimizing a test strategy to obtain a comprehensive test report; according to the invention, full-process automation of test case generation is realized, the test efficiency and quality are improved, and the test maintenance cost is reduced.

The invention relates to the technical field of computer storage, and discloses a test strategy for improving the read-write performance stability of an SSD (Solid State Disk), and the strategy comprises the following steps: obtaining the current available capacity of an SLC cache of the SSD; based on the obtained current available capacity, setting a total data volume used by a performance stability test, so that the total data volume is smaller than the current available capacity; and executing the performance stability test on the solid state disk by adopting the set total data volume so as to obtain performance data capable of reflecting the hardware stability of the solid state disk. The real-time available capacity of the SLC cache is obtained through the standard interface before the test, and the test data volume is set by taking the real-time available capacity as the rigid basis. By means of the method, precise stripping and evaluation of the performance stability of the solid state disk hardware are achieved, and the test result can truly reflect performance fluctuation caused by hardware components such as a master control or flash memory particles.

The invention discloses a production command agent test and evaluation method, device and equipment and a medium, and belongs to the technical field of agents, and the method comprises the steps: combining any evaluation dimension in an evaluation dimension set with any test scene type in a test scene type set, and obtaining an evaluation factor combination set; performing parameter matching in an agent configuration parameter pool according to the evaluation dimension and the test scene type corresponding to the evaluation factor combination, and generating a plurality of agent configuration parameter groups corresponding to the evaluation factor combination; the production command agents corresponding to the agent configuration parameter sets are evaluated and tested, and evaluation index values corresponding to the agent configuration parameter sets are obtained; and according to the evaluation factor combination set, the agent configuration parameter group and the evaluation index value, generating total evaluation test information, and according to the total test information, testing and evaluating the to-be-evaluated production command agent. Therefore, by implementing the method, the evaluation reliability of the production command agent can be improved.

The invention discloses a multi-point explosion hazard effect evaluation test method and a multi-point explosion hazard effect evaluation test system. The method comprises the following steps: uniformly distributing a plurality of explosion sources with prefabricated fragments on the same circumference and synchronously detonating; determining abdominal line distribution based on a shock wave superposition principle, and dividing a reference ring, an inner ring and an outer ring by taking an explosion central point O as a circle center according to a predicted overpressure peak value; and cake-shaped and penholder-type free field pressure sensors, impulse targets, simulation dummies, pine targets and speed measurement targets are systematically arranged on each ring layer along the abdominal line direction. By synchronously collecting multi-parameter data such as shock wave pressure-time history, fragment speed, target deformation, human body reflection overpressure and the like, quantitative analysis of shock wave superposition and attenuation characteristics, fragment power field distribution, human body damage risk and explosion impulse aftereffect is realized. The problem that the multipoint explosion hazard effect lacks a standardized test means is solved, and data support is provided for protection equipment research and development and safety standard formulation.

The invention discloses a method and a system for evaluating a test coverage rate based on a Java call link, and relates to the field of software testing. The method comprises the following steps: identifying a difference function according to a first comparison result, and constructing a call chain tree structure by taking the difference function as a root node based on a code call relation graph; analyzing the difference function to obtain a direct code change line of the difference function, based on a call chain tree structure, identifying a related code line on a call chain where each call point is located as a call point code line, and summarizing the direct code change line and the call point code line; and analyzing the code coverage rate data to obtain an actually covered code line, comparing the to-be-tested code line with the actually covered code line, determining coverage rate index data based on a call chain according to a second comparison result, and determining a test coverage rate evaluation result according to the coverage rate index data. The test coverage rate can be evaluated more comprehensively and accurately.

Some embodiments comprise a vehicle for conducting non-destructive evaluation (NDE) tests of storage tanks, especially storage tank bottoms. Vehicles may be autonomous, semi-autonomous, or manually driven ROVs. At least one NDE instrument probe is onboard as well as at least one high and / or low-pressure fluid nozzle which is either repositionable or fixed on an area in front of the NDE probe. Thus, as the vehicle advances, the nozzle cleans a path in front of the probe to improve the probe's coupling to the tank bottom. Repositionable nozzles may be motorized and under computer control. The nozzle receives fluid flow from a pump configured in recirculation mode. Thus, the pump draws in tank fluid and outputs a high or low-pressure high-volume stream to the nozzle, which directs the flow.

We provide the system. [Solution] Means for collecting user operation data, Means for acquiring video and audio data, A means for analyzing the acquired data using a multimodal generation AI model and automatically generating suggestions for improving the user experience, A means for automatically generating different user interfaces based on multiple improvement proposals that have been generated, A means for conducting evaluation tests targeting users using the aforementioned different user interfaces and analyzing the results, A system that includes this.

The invention discloses a software testing method of a credential and credential system and electronic equipment. The method comprises the following steps: acquiring feature information of a to-be-tested credential system; according to the feature information of the credential and credential system and a preset hit standard of each standard test domain, determining a target standard test domain matched with the credential and credential system in each standard test domain; based on each target standard test domain, generating a test model corresponding to the credential system; and testing the credential system based on the test model. According to the method and the device, missing or redundancy of the test domain is avoided, the test quality is improved, quantitative evaluation of the test quality can be realized, and the test quality is effectively guaranteed.

The embodiment of the invention discloses a script quality evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: testing a target software function containing positioning instrumentation by running a to-be-evaluated test script, and outputting an instrumentation log through the positioning instrumentation; determining a multi-dimensional quality index of the to-be-evaluated test script based on the instrumentation log; and performing quality evaluation on the to-be-evaluated test script based on the multi-dimensional quality index. According to the embodiment of the invention, the evaluation accuracy when the test script is evaluated can be ensured, and the evaluation efficiency is improved.

Methods, apparatus, and computer readable storage medium evaluating codec performance. One method includes obtaining m anchor data points each generated based on a respective anchor encoded video bitstream; obtaining n test data points each generated based on a respective encoded test video bitstream, n being an integer; fitting the m anchor data points with an anchor curve, the anchor curve being based on an anchor polynomial, wherein the anchor polynomial is monotonic in an x-axis range; fitting the n test data points with a test curve, the anchor curve being based on a test polynomial, wherein the test polynomial is monotonic in the x-axis range; and evaluating the test codec performance based on the anchor curve and the test curve, to obtain an evaluation result.

The invention provides a new energy cloud platform architecture method based on agile driving, and the method comprises the following steps: (1), extracting the characteristics and demand analysis of a new energy cloud platform according to a scene; (2) performing new energy cloud platform function category division to realize micro-division: performing category division on basic functions of the new energy cloud platform by adopting a domain-driven design (DDD) thought based on an analysis result of the step (1); step (3), micro-function module evaluation and test: aiming at each micro-function module divided in the step (2), constructing a special evaluation and test system; (4) user feedback and iterative optimization of agile driving; and (5) architecture integration and deployment. According to the invention, fine micro-division is carried out on basic functions of the new energy cloud platform, dynamic optimization based on user feedback is realized in combination with an agile driving mechanism, the availability and operation efficiency of the platform are improved, and scheduling optimization, monitoring management and full-link efficiency of renewable energy sources are improved.

The invention discloses a performance test method and device for an Ethernet switch and a medium, and belongs to the field of Ethernet switch testing, and the method comprises the steps: constructing a dynamic random data generation model of which the test process fluctuates along with a time period; generating a test signal of which the test data volume fluctuates along with the time period; constructing a state control model of the Ethernet switch service based on a queuing theory, and adjusting the rate of injecting the test data packet into the Ethernet switch in real time through the state control model; screening an output test data packet which is most matched with each test data packet, and calculating the performance coefficient of the Ethernet switch tested by each test data packet; and calculating a performance coefficient average value of the Ethernet switch, setting a performance coefficient threshold value of the Ethernet switch, and evaluating the tested performance of the Ethernet switch. According to the method, the consistency of multi-node test data can be realized, the concurrent test of ten thousand-level ports is supported, and effective decision support is provided for configuration optimization of the Ethernet switch.

The invention discloses a pet food palatability evaluation test control method, system and device, and relates to the technical field of data processing, and the method comprises the steps: after a pet food intake induction signal is detected, binding collected pet identity information and food intake data with a corresponding food intake event, and obtaining a pet food intake core data set; associating the pet ingestion core data set with the correspondingly input auxiliary archive data to obtain an associated data set corresponding to the tested food; classifying and sorting the associated data set, and generating a classified induction data set according to pet basic information and food consumption statistical dimension division; and according to a palatability analysis rule, analyzing, classifying and summarizing the data set from multiple data dimensions, and generating a palatability test result of the tested food. By collecting the core data, associating the auxiliary data and analyzing and generating the test result according to the rule, the problem of low accuracy of the food palatability test result is solved, and the palatability test accuracy and standardization effect are improved.

The invention provides a network protocol response behavior consistency test method based on a differential fuzz test. The method comprises the following steps: preparing an initial test case for a fuzzer instance, and performing a first round of fuzz test; the fuzzer instance adds the found valuable test case into a shared seed pool, and obtains the test case from the shared seed pool; mapping responses obtained after the protocol messages stimulate the servers with the same protocol and different implementations into a reduction response set through a reduction function, comparing according to mapping results, and determining a processing strategy of the responses; and evaluating the test effect. Therefore, reasons causing response differences are analyzed, and vulnerabilities in protocol implementation are more efficiently mined.

The invention provides a comprehensive testing method and device for an agricultural machine microcontroller and a storage medium, and relates to the technical field of microcontroller testing. The method comprises the steps of firstly building a bidirectional data transmission link with a microcontroller to be tested, then converting a user test demand into a corresponding test instruction, issuing the test instruction, collecting original test data after a test is executed, carrying out standardization processing on the original data, evaluating a test state, if a result is abnormal, creating a correction response flow according to an abnormal type, and if the result is abnormal, completing the test. Re-establishing a link or evaluating to obtain a new result; according to the invention, automation and integration of the whole testing process are realized through a closed-loop process, a splitting link is not needed, manual equipment switching is not needed, comprehensive testing is completed in a one-stop manner, operation is greatly simplified, and efficiency is improved; the abnormality correction mechanism can optimize the process automatically, avoids test interruption, guarantees test continuity and reliability, and provides an efficient and stable solution for factory detection and regular maintenance of the agricultural machine microcontroller.

The invention discloses a synchronous heating and voltage tolerance test method for a hybrid cable transition joint, and relates to the technical field of high-voltage submarine cables, and the method comprises the following steps: S1, test system initialization and sample installation: test object preparation, sensor deployment and equipment connection; s2, double-cable differential heating control: XLPE section heating, oil filling section heating and temperature synchronous judgment; s3, coupling voltage loading and cycle testing: initial voltage application, a heating stage, a cooling stage, cycle control, failure diagnosis and automatic protection; s4, evaluation test after thermal cycle: for a cable system with Um greater than or equal to 300kV, the operation sequence is operation impulse test-lightning impulse test-power frequency voltage test; and S5, report generation: an output report comprises original monitoring data, a key parameter comparison table and failure mode analysis. The problem that the electrical performance of two cables under different temperature working conditions cannot be verified at the same time according to the existing standard is solved, and the reliability of the transition joint in long-term operation is ensured.

The invention relates to an optimal test position searching system and method in an OTA camera obscura, and belongs to the technical field of position searching, the system comprises the OTA camera obscura, a real-time monitoring module, a self-adaptive scheduling algorithm module, a test control module, a data analysis and evaluation module and a result output module, the OTA camera obscura is used for providing a non-interference test environment; the real-time monitoring module is used for acquiring MCS parameters of the equipment to be tested; the adaptive scheduling algorithm module, the test control module and the data analysis and evaluation module are used for evaluating the performance of a test position according to the MCS parameters, determining whether an optimal test position is reached or not, if the optimal test position is not reached, determining a next test position according to an adaptive scheduling algorithm, and controlling the test probe or the antenna array to move to the position; whether the optimal test position is found or not is judged, and if the optimal test position is not found, searching continues; and if the optimal test position is found, the result output module outputs the optimal test position and the test result.

Provided herein is a system for dynamic assessment of a prediction of late onset sepsis, LOS, in a test neonatal subject, a test subject, the system comprising a processor configured to perform steps of a method comprising: - receiving a parameter time series (120,a to i) of a measurement of at least one parameter, a test parameter, measured of the test subject after birth of the test subject during a test session; - determining a prediction time series (130a to g) of sequential prediction scores for LOS, TLOSPS(ptd), of the test subject, wherein - each TLOSPS(ptd) within the prediction time series is determined at a determination time point, ptd; - each TLOSPS(ptd) (e.g. 130,a or 130,e) is determined from the at least one parameter time series (e.g. 120,a or 120,a) limited to a parameter time window, PTW, - the PTW spans up to the ptd, and extends back in time according to a size of the PTW; - dynamically evaluating the TLOSPS(ptd), by comparing the TLOSPS(ptd) against a dynamically-adjusted threshold score, THS(ptd).

The invention discloses a device and method for detecting the performance of a tool bit of a thinning grinding wheel, and the device comprises a pedestal, one end of the pedestal is provided with a control assembly used for preliminarily determining the position and a test assembly used for accurately determining the position, and the control assembly is connected with the test assembly through an adapter. The other end of the base is provided with an adjusting assembly used for adjusting the position of a tested grinding wheel, and the specific method comprises the steps that S1, the grinding wheel to be tested is installed on the positioning disc, the grinding wheel comprises a grinding wheel tool bit and a grinding wheel base body, and a testing program is started in an upper computer operation interface; s2, tool bit hardness index evaluation testing; s3, evaluating and testing compressive strength indexes of the tool bit; according to the invention, full-automatic detection and evaluation of a small-size tool bit sample of a full-size grinding wheel for double indexes of hardness and strength are realized, and the method can be applied to rapid verification of the feasibility and optimization effect of a new formula of the grinding wheel and is used as a prior test means of stability and reliability indexes of a thinned grinding wheel product.

We provide the system. [Solution] Equipped with an information processing device for automating educational evaluation, A means for selecting multiple educational issues based on one or more conditions and automatically generating an educational assessment test, A means of performing automatic scoring by comparing the received answer data with the model answer, A system including means for generating and presenting scoring results and feedback.

The embodiment of the invention provides a fuzz test seed sharing method and device and a medium, and belongs to the technical field of data processing, and the method specifically comprises the steps that a template meeting the specific format requirement of a fuzzer is written, and part of test cases are selected from existing test cases; operating the fuzzifier instance; step 3, generating a test case according to the template, adding the initial seeds into a seed queue, and selecting one seed from the initial seeds for variation to obtain the test case; 4, inputting the test case into the target program; step 5, if the current test case covers a new path, a new branch or triggers a new crash, adding the current test case to the shared seed pool; step 6, the generative fuzzer instance generates a template according to the obtained test case, and the variant fuzzer instance obtains the test case from the shared seed pool as a new seed; step 7, circulating the step 3 to the step 6; and evaluating the test effect. Through the scheme of the invention, the test efficiency and the program coverage rate are improved.

The invention discloses a wheel body detection method based on a high-precision wear resistance test platform, and the method achieves the precise evaluation of wear resistance under a complex working condition. The test platform is composed of a test pressurization system, a multi-dimensional monitoring system and an intelligent control system, and the test pressurization system comprises a test pressurization mechanism and a test simulation mechanism which are arranged in parallel and can simulate various road surface working conditions and pressure changes; the multi-dimensional monitoring system collects data in multiple aspects of vision, mechanics and the like in real time, and the intelligent control system achieves automatic testing and data processing. The test method comprises the steps of test preparation, initial contact calibration, multi-stage dynamic pressurization test, data processing analysis, wear resistance comprehensive evaluation and the like, a unique multi-stage dynamic loading mode is adopted, and machine learning and finite element analysis are combined; compared with the prior art, the actual working condition can be simulated more truly, all-around high-precision monitoring and precise evaluation are achieved, and powerful technical support is provided for research, development, production and quality control of the Mecanum wheel.

This item is a pseudo-leak standard used in leak tests to detect leaks by pressurizing or depressurizing the inside of a test object and measuring the pressure change due to the leak, and it creates a pseudo-leak in the pneumatic circuit of the leak test equipment. The pseudo-leak test results are compared with the test results of the test object and are used to evaluate the sealability of the test object. This item is attached to a test object sample connected to the pneumatic circuit of the leak test equipment to form an inspection reference object (defective sample), or is attached directly to the piping of the pneumatic circuit to which the test object sample is connected. This item is threadedly connected to a jig in the pneumatic circuit or to a female thread machined into the test object sample. A through hole formed inside the body of this item has a tiny hole formed in the foil sandwiched between two seal rings, and when air pressure is applied, a leak occurs from the hole.

The application provides a kind of electronic control module firing performance test method, equipment and storage medium, can simulate the firing test box of different capacitance values, different voltage values, can output different firing voltage, second, by determining whether the temperature measured by infrared thermometer meets the ignition temperature point or the maximum non-ignition temperature point of the ignition powder, to determine the reliable firing voltage and safety voltage of the ignition element matched with the ignition powder, then according to the firing parameter obtained at the moment of firing of the ignition element, it can be determined whether the electronic control module is suitable for the client ignition powder, so as to realize the effective evaluation test of the firing performance of the electronic control module of the electronic detonator, without going to the client to do the drug matching experiment, it is efficient and safe.

The invention discloses an equipment interference test method and device based on bidirectional approximation and related components, and the method comprises the steps: obtaining equipment communication information of tested equipment, constructing a forward test parameter set according to the equipment communication information, carrying out the forward approximation test of the tested equipment through the forward test parameter set, and obtaining a first test result data set; radio signals in a real environment are collected, an interference signal sample library is constructed according to the radio signals, the interference signal sample library is utilized to perform reverse approximation testing on the tested equipment, and a second test result data set is obtained; and performing interference analysis on the tested equipment based on the first test result data set and the second test result data set to obtain an interference test result. According to the invention, through organic combination of the forward approximation test and the reverse approximation test, comprehensive coverage of test dimensions and high simulation of a test scene are realized, and the evaluation test effect of the anti-interference capability of communication equipment in a complex electromagnetic environment can be effectively improved.

Embodiments of the present application relate to the field of photovoltaic technology, and disclose a photovoltaic monitoring system abnormal test data generation method, device, equipment and medium, the method comprises the following steps: constructing a GAN model, constructing a fusion framework of a knowledge graph and a probabilistic graph model, including constructing an ontology model in the field of photovoltaic, and establishing a probabilistic graph model according to the constraint relationship in the ontology model, iteratively training the GAN model to convergence, and then outputting a preset number of evaluation test samples of a predetermined photovoltaic fault type, inputting the preset number of evaluation test samples into the probabilistic graph model, and outputting a multidimensional influence probability corresponding to each evaluation test sample, obtaining a business impact degree corresponding to the evaluation test sample according to the multidimensional influence probability, and obtaining test data by screening the evaluation test sample according to the business impact degree. The test data generated by the embodiments of the present application can be widely applied to the test and verification of data cleaning, fault tolerance processing, fault detection and other functions of the photovoltaic monitoring system.

A system is provided.SOLUTION: A system comprising: means for receiving and storing registration information of a user in a database; means for providing an initial evaluation test for analyzing a learning style and a literacy level of the user; means for generating a personalized learning module according to the learning style of the user based on a result of the initial evaluation test; means for providing the generated learning module to a terminal of the user and presenting learning contents; and means for tracking a learning progress situation of the user and generating a next learning module based thereon.SELECTED DRAWING: Figure 1

This disclosure relates generally to video coding / decoding and particularly for evaluating codec performance. One method includes obtaining a first plurality of anchor data points; obtaining a second plurality of test data points; analyzing monotonicity conditions of the first plurality of anchor data points and the second plurality of test data points; determining a fitting algorithm based on the analyzed monotonicity conditions; fitting the first plurality of anchor data points with the fitting algorithm to obtain an anchor curve; fitting the second plurality of test data points with the fitting algorithm to obtain a test curve; and evaluating the test codec performance based on the anchor curve and the test curve, to obtain an evaluation result.

The application relates to an intelligent test case generation method based on an AI adversarial model, and belongs to the technical field of computer software testing, which comprises the following steps: constructing an initial training set according to system information to be tested, test requirements and historical test data; generating a test case by using a generator of the AI adversarial model based on the initial training set; evaluating the quality of the test case by using a discriminator, and iteratively optimizing the generator based on the evaluation result; executing the generated test case, recording execution logs and intermediate results; and evaluating the execution logs and the intermediate results until a preset test termination condition is met. The test case generated by using the AI adversarial model has stronger adversarialness and pertinence, and can effectively find hidden defects that are difficult to be found by traditional methods.