2041 results about "Test object" patented technology

The invention discloses a software automatic testing system based on generative artificial intelligence, which is characterized in that a software analysis module identifies attribute information of a UI component based on a multi-modal large model for a test object, and constructs a UI component knowledge graph according to a structured information document; the knowledge retrieval module receives the test requirements and retrieves related historical test cases, test scripts and related test data; the organization interaction module sends a test intention and demand information to the knowledge retrieval module for retrieval according to the input user test intention, and test demand knowledge is returned; sending the UI component knowledge graph to the software analysis module for searching the knowledge graph of the test object, and returning the UI component knowledge graph; a test generation module receives test demand knowledge and the UI component knowledge graph, and generates a test case and a test script; and the script execution module receives the test case and the test script, starts a test process and records a test result.

The embodiment of the invention relates to the technical field of sealing detection, and discloses an artificial intelligence-based sealing detection method, which comprises the following steps of: determining corresponding control parameter information according to the volume of a detected object and a deformation parameter of the detected object of detected object information; according to the control parameter information, the working states of the air source assembly and the inflation proportional valve are controlled to inflate the tested object; if the pressure conversion information is smaller than a first set threshold value, it is determined that the airtightness of the corresponding measured object meets the requirement, and if the pressure conversion information is larger than the first set threshold value, the next step is executed; and obtaining an infrared detection image of the detected object shot by the infrared camera, inputting the infrared detection image into the air tightness detection model for identification so as to determine the air tightness state of the corresponding detected object, and outputting the corresponding air tightness state. According to the scheme of the embodiment of the invention, through accurate inflation control and an intelligent detection process, the method can improve the detection efficiency while ensuring the detection precision.

The invention relates to the field of environment simulation control, in particular to an environment simulation method and system for a high and low temperature test box. The method comprises the following steps: acquiring initial state monitoring parameters of a high and low temperature test box, performing regional environment parameter division and time point gradient change fitting, and constructing a plurality of regional temperature and humidity gradient change curves; identifying a test object in the high and low temperature test box; performing transient thermal change limit evolution excavation on the test object according to the plurality of regional temperature and humidity gradient change curves to generate a transient thermal change limit curve of the current test object; acquiring a preset test box environment simulation log, performing global temperature change cross period optimization according to the transient thermal change limit curve of the current test object, and constructing a global temperature change optimization simulation period; and executing environment simulation control operation according to the global temperature change optimization simulation period, and collecting high and low temperature simulation environment monitoring data. According to the invention, quick-response, accurate and stable environment simulation control is realized.

The invention belongs to the field of material performance testing of mechanical structure strength, and particularly relates to an ultrasonic fatigue experiment monitoring method based on digital twinning. According to the method, on the basis of an ultrasonic fatigue testing machine platform, an ultrasonic fatigue digital twin model of a tested object is established by collecting frequency, temperature, load and other test data, and real-time online monitoring of ultrasonic fatigue and life prediction are carried out in combination with a fatigue life prediction model. Compared with a traditional test method, the method has the advantages that ultrasonic detection data and a digital twinborn model technology are combined, the fatigue life of the material is predicted and evaluated, the test efficiency is improved, the long-life test cost is reduced, and the accuracy and reliability of test data are improved.

Proposed are an electro-conductive contact pin capable of effectively testing the electrical characteristics of a test object without a body thereof being elastically bent or curved in a convex shape in the horizontal direction by pressure applied to opposite ends thereof, and a vertical probe card having the same.

The invention relates to the technical field of education, in particular to a visual chart system for analyzing test question quality and test object ability, which comprises a dynamic data preprocessing module, a sliding window adaptive adjustment module, a multi-axis fluctuation intensity analysis module, a group trend disassembly module and an abnormal test question judgment module. According to the method, a difference absolute value algorithm is adopted to construct an adjacent test question physical correlation model, a test question serial number is mapped as a time axis variable to generate a thermodynamic diagram, the time-space continuity of score fluctuation is captured, a sliding window algorithm is adopted to establish dynamic correlation between window density and fluctuation amplitude, and normalized parameter difference degree is matched with sampling frequency and data features. A three-axis direction change rate is defined to construct a three-dimensional radar coordinate system, Kriging interpolation is combined to generate a distribution cloud picture, group trend departure and standard deviation distribution difference are analyzed, spatial autocorrelation modeling is used to enhance the anomaly recognition capability, and time sequence modeling, dynamic feedback and spatial vector analysis are used to cooperatively improve the detection and evaluation precision and reduce the misjudgment risk.

An object pose prediction system includes a training system and an imaging system. The training system is configured to repeatedly receive a plurality of training image sets and to train a machine learning model to learn a plurality of different poses associated with the test target object in response to repeatedly receiving the plurality of training image sets. The imaging system is configured to receive a 2D test image of a test object, process the 2D test image using the trained machine learning model to predict a pose of the test object, and output a 3D test image including a rendering of the 2D test image having the predicted pose.

A method for a tightness test of a test object filled with a liquid, said test object having an internal pressure which is lower than atmospheric pressure, comprising the following steps: inserting the test object into a test chamber, evacuating the test chamber to a pressure which is lower than the internal pressure inside the test object, drawing off the test chamber residual gas components together with gas components desorbing from a wall of the test chamber and parts of the liquid escaping from the test object through a leak in the latter without any carrier gas being fed to the test chamber from outside, transporting the drawn-off residual gas components together with the parts of the liquid escaped from the test object to a detector, and detecting parts of the liquid escaped through a leak in the test object by means of a detector.

The invention belongs to the technical field of underwater vehicle testing, and particularly relates to a testing device for simulating an actual ocean service environment and a using method of the testing device. The experimental device comprises a box body, a bottom plate detachably installed on the box body, a plurality of simulation areas arranged on the bottom plate or the side wall of the box body, a wave making mechanism and a water depth pressure simulation mechanism installed on the side wall of the box body, a sea wind simulation mechanism installed on the box body, a first illumination module and a plurality of first visual capture modules. The wave making mechanism, the water depth pressure simulation mechanism and the sea wind simulation mechanism are arranged to form an ocean service environment, a plurality of simulation areas are arranged on the bottom plate or the side wall of the box body, and the height of the multiple three-dimensional lifting columns relative to the polygonal sinking surface is adjusted through the corresponding telescopic driving mechanisms to simulate the ocean seabed landform. Different working environments are provided for a test object, and the problems that in the prior art, due to the fact that the difference between the simulated marine environment and the actual environment is large, appearance optimization design cannot be carried out, and service performance cannot be comprehensively evaluated are solved.

The present application relates to a construction method for a corrosion-resistance degree-mechanical property analysis model of a metal material, and the use thereof. The construction method for the analysis model comprises the following steps: using a metal material as a test object, and acquiring corrosion test experimental data sets at different equivalent corrosion time points under corrosion test conditions and mechanical property test experimental data sets at different corrosion degrees corresponding to the different equivalent corrosion time points; and respectively establishing an empirical relational expression of corrosion parameters changing with an equivalent corrosion time and an empirical relational expression of mechanical parameters changing with the equivalent corrosion time.

An automatic temperature compensation method and apparatus, and a storage medium. The method comprises: acquiring an impedance information set of at least one position on an object under test; on the basis of a first impedance signal, n preset offsets and a pre-acquired reference signal, determining n error values corresponding to the first impedance signal; on the basis of the n error values and a preset standard, determining a final error value, such that different offsets corresponding to different temperature changes can be determined, so as to determine an accurate final compensation value for the current object under test; on the basis of an offset and the first impedance signal, determining a horizontally compensated impedance signal, so as to complete the compensation for an impedance signal in the horizontal aspect; and on the basis of the reference signal, the horizontally compensated impedance signal and a temperature deviation coefficient, determining a vertically compensated impedance signal.

The invention discloses a terminal computing power management platform stability test method and system, and belongs to the technical field of computing power platform tests.The method comprises the steps that for a test object, connection is established, basic configuration is carried out, and association extraction is carried out; service arrangement, self-definition of published message test parameters and message template customization are carried out to quickly create a service pressure test script and accurately simulate access of users of different magnitudes to a service system; scene construction: dividing a test scene according to two basic dimensions of connection and message throughput, constructing a standard test scene, and rapidly simulating a complex service scene in combination with a set point, thinking time and a condition control instruction; result visualization and performance optimization are carried out, and the performance is optimized by combining service index and resource index data in a test report, so that the stable operation of the system is ensured. According to the invention, various scenes and configurations can be quickly constructed, the test difficulty is reduced, the test efficiency is improved, and the test reliability is ensured.

The invention relates to a double-color magnetic nanoparticle imaging method based on a single-harmonic system matrix, which comprises the following steps: respectively moving two different types of magnetic nanoparticle samples to a central zero magnetic field point, applying a scanning magnetic field to enable the zero magnetic field point to scan the whole imaging field of view, applying an excitation magnetic field to magnetize magnetic nanoparticles, and applying an excitation magnetic field to magnetize the magnetic nanoparticles; acquiring magnetization frequency spectrum signals of the two magnetic nanoparticle samples; the method comprises the following steps: constructing single harmonic system matrixes A1 and A2 based on single harmonic of magnetization spectrum signals of two kinds of magnetic nanoparticle samples; measuring a to-be-measured object formed by the two kinds of magnetic nanoparticles to obtain a measurement magnetization signal U; transversely splicing the single harmonic system matrixes A1 and A2 of the two different types of magnetic nanoparticles to obtain a new single harmonic system matrix A; the concentration distributions c1 and c2 of two different types of magnetic nanoparticles are obtained by combining a new single-harmonic system matrix A with a measurement magnetization signal U, and the concentration distributions of the two different types of magnetic nanoparticles are respectively sent into different color channels to be displayed in different colors. The method has important significance in promoting the application of the magnetic nanoparticle imaging technology in clinical medicine.

The invention provides a multi-step automatic testing method based on machine vision, and the method comprises the steps: capturing an original image sequence of a test scene through a camera, extracting the contour features of a test object in an image through an edge detection algorithm, and obtaining a preliminary positioning coordinate; if the dynamic position change trend exceeds a preset threshold value, adjusting an image enhancement parameter to suppress background noise, and obtaining an enhanced target image; feature matching is carried out through the enhanced target image, a robust identifier such as a texture mode is extracted, and an accurate three-dimensional position coordinate is obtained; according to the accurate three-dimensional position coordinates, calculating an execution deviation value of the current step, and judging whether the deviation value is within an allowable range or not; if the deviation value is within the allowable range, a control instruction sequence is generated and transmitted to the mechanical arm, and a step execution confirmation signal is obtained; comparing a confirmation signal with a next image sequence through the steps, updating positioning model parameters, and determining a continuous adjustment scheme of the whole test process.

The invention provides a method for measuring the thermal runaway characteristic of a battery, which is used in the technical field of accurate measurement and thermal runaway testing of the volume, components and content of produced gas in the thermal runaway process of the battery, and the measurement method comprises the following steps: step 1, installing a test object in an experiment cabin, and carrying out pre-inflation replacement on the experiment cabin, the gas environment in the experiment module is a pre-inflation environment in a normal pressure state; 2, when the initial temperature value in the cabin is equal to the initial temperature of the surface of the battery, the battery is controlled to be heated or overcharged through an adapter on the experiment cabin, and the current temperature value in the cabin and the temperature value of the surface of the battery are recorded; and 3, recording the pressure value and the temperature value of the battery in the cabin in real time during thermal runaway, and calculating the gas production rate of the battery. According to the method, the gas production volume and components in thermal runaway are accurately measured, and the gas production rate and the total heat release amount in the thermal runaway period are calculated; the multi-dimensional characteristics of the thermal runaway behavior are obtained through one-time testing, and the thermal runaway safety of the battery is comprehensively evaluated.

The invention is applicable to the technical field of PCB testing, and particularly relates to a PCB electrical performance testing method, which comprises the following steps of: acquiring test object information; wherein the object information comprises a PCB image and at least one test area, the PCB image corresponds to the PCB and reflects the circuit structure of the PCB, the test area is marked on the PCB image, and the test area comprises a main test position and an auxiliary test position; when an electrical performance test instruction is received, contact judgment information is obtained based on the test object information; when it is detected that the auxiliary test probe is in stable contact with the auxiliary test position, the control device controls the main test probe to continuously send test signals and collect test results in real time, and test analysis information is obtained based on the test results. According to the PCB electrical performance test method provided by the embodiment of the invention, the problem of high test error caused by asynchronous actions of the main test probe and the auxiliary test probe can be improved.

The invention discloses a multi-dimensional environment coupling aging test box and a self-adaptive control method thereof.The multi-dimensional environment coupling aging test box comprises a box body, a multi-dimensional environment coupling system and a self-adaptive control system.The box body is internally provided with a test cavity, the multi-dimensional environment coupling system is arranged in the test cavity, and the self-adaptive control system is arranged in the test cavity; and the multi-dimensional environment coupling system is connected with the adaptive control system. A multi-physics coupling environment is constructed by integrating four environment simulation modules of temperature and humidity, illumination, vibration and gas. The sensor group acquires environmental parameters (temperature and humidity, irradiance, acceleration and gas concentration) and state data of a test object in real time, and transmits the environmental parameters and the state data to the data processing unit. Based on a multi-physics field coupling model (such as finite element analysis or an empirical formula), the contribution degree of each environmental factor to material aging is calculated, a dynamic control instruction is generated, output parameters of each module are synchronously adjusted through an execution mechanism, and closed-loop control over environmental conditions is achieved.

The invention relates to a construction method and application of a corrosion resistance degree-mechanical property analysis model of a metal material. The application relates to an electric device comprising a battery system. The construction method of the analysis model comprises the following steps: taking a metal material as a test object, and obtaining a corrosion performance test experiment data set at different equivalent corrosion time points under a corrosion test condition and a mechanical performance test experiment data set at different corrosion degrees corresponding to the different equivalent corrosion time points; based on the corrosion performance test experiment data set, a first group of empirical relational expressions of corrosion parameters changing along with the equivalent corrosion time are established, based on the mechanical performance test experiment data set, a second group of empirical relational expressions of mechanical parameters changing along with the equivalent corrosion time are also established, and the corrosion test conditions are used for simulating a target service environment. The analysis model can be effectively used for mechanical property prediction and service life evaluation of the metal material, and the metal material can comprise an aluminum alloy material and can further comprise a battery box body material.

The invention discloses a memory error injection test method and device, an interface, a storage medium and electronic equipment. The method comprises the following steps: acquiring a basic test case, a hardware error injection test object and a test condition; whether a hardware error injection test needs to be executed or not is judged, if yes, the hardware error injection test object is tested according to test conditions and a basic test case, and a hardware test result is obtained; if not, skipping the hardware error injection test; obtaining software error injection test items and all function test cases corresponding to each software error injection test item; receiving an error injection parameter corresponding to the software error injection test item, and sequentially executing all the function test cases corresponding to the software error injection test item based on the error injection parameter to obtain a software test result; and obtaining a firmware test result according to the hardware test result and the software test result. Based on hardware error injection and software error injection, defects in firmware design can be covered, and firmware algorithm stability and self-recovery capability detection is realized.

The invention relates to a multifunctional automatic electric vehicle power domain measurement and control system which comprises a simulation control model, a rack control unit, a CMU simulation unit, a thermal management unit, a direct current charging guide unit, an alternating current charging guide unit, a scene playback unit, a test scene rendering unit, a low-voltage conditioning module, a low-voltage communication module and a tested object. A tested object comprises an XCU assembly, a battery pack system, a BMU module and PTC and ACCM simulation modules in a thermal management unit, and the real-time simulation control model is provided with a driver simulation model and a longitudinal dynamics simulation model. The invention provides a multi-dimensional digital intelligent measurement and control system and a test method, which greatly save time and economic cost.

The invention relates to a storage performance test method, equipment and a medium, which are used for testing storage performance data of a distributed storage system in various test scenes. The method comprises the following steps: in response to a test mode selected by a user, when it is determined that the selected test mode is a specified time delay mode, obtaining a target time delay and an adjustment coefficient input by the user; executing at least one pre-test in a test object at an initial queue depth, and determining a target queue depth according to the test delay of the pre-test, the target delay and the adjustment coefficient; and executing a storage performance test in the test object by using the target queue depth to obtain storage performance data of the test object.

The invention discloses a petroleum pipe microscopic fracture morphology identification method, system and device and a medium, and belongs to the technical field of failure analysis image process.The method comprises the steps that a deep learning classification network with a residual module is constructed and trained, and a deep learning classification network loaded with a network connection weight matrix is obtained; and finally, the deep learning classification network is utilized to efficiently and accurately identify the to-be-tested object region image. According to the method, massive data sets can be quickly processed and analyzed by using the high-speed processing capability of a modern computer, so that the efficiency is greatly improved. Compared with a traditional method, the automatic fracture classification method can reduce subjective interference of people and enhance reliability and consistency of results. And meanwhile, the identification method is simple, engineering application integration is facilitated, and good practicability and expansibility are achieved.

The invention relates to the technical field of software testing, in particular to a software testing method, device and equipment. According to the method, the test priority of each module of a to-be-tested object is identified, a plurality of test cases are matched with each module according to the test priority, different test weights are allocated to each test case, and then the execution paths of the test cases are crossed and mutated according to the test weights and the test priority through a genetic algorithm, so that the test efficiency of the to-be-tested object is improved. And determining an optimal test case execution path, performing test defect feedback in real time according to a test result through a reinforcement learning algorithm in the test process, and adjusting the test priority of each module of the to-be-tested object and the test weight of the test case through a reward function according to a defect feedback result. Therefore, the software test platform can adaptively adjust the test execution path in the test process according to the test result, the test efficiency is greatly improved, and the defect discovery rate is also improved.

The invention provides a text-based graph quality evaluation method and device and a related product, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring a target image generated by a text graph network model according to text description of a target text; determining a generation efficiency qualitative score, a logic consistency qualitative score, a visual consistency qualitative score, a semantic consistency qualitative score, a content consistency qualitative score and other text generation graph qualitative scores when the test object generates a target image according to the target text for the text generation graph network model; obtaining a first image quality quantitative score, a second image quality quantitative score, an image-text consistency quantitative score and other text graph quantitative scores of the target image; and performing weighted summation processing on the qualitative score of the text graph and the quantitative score of the text graph, and determining the image quality of a target image generated by the text graph network model according to the text description of the target text. According to the embodiment of the invention, the quality of the image generated by the text graph can be accurately evaluated.

The invention provides an intelligent debugging method and system for transformation of secondary equipment of an intelligent substation, and the method comprises the steps: calculating a sub-CRC value of an SCD file, comparing the sub-CRC consistency of IED in the SCD file before and after transformation, and obtaining a consistency comparison result; after detecting that the configuration of a certain IED is changed, determining an object to be tested and a boundary to be tested; executing a secondary equipment debugging task, performing modeling processing on the to-be-tested object, the test instrument and the test process to form a test task standard model, and generating a test template for the fixed single body and the whole group of equipment; according to the consistency comparison result, the to-be-tested object and the to-be-tested boundary, calling a test template, and instantiating to generate a debugging scheme; testing is carried out according to the testing scheme, and a secondary equipment transformation debugging result is obtained; and when all tests are completed, recovering the states of the equipment pressing plate and the control word before the tests. The technical problem that the field operation risk is caused due to the fact that the transformation and debugging efficiency and safety of the secondary equipment are low is solved.

A probe pin includes a low resistance member consisting of a first metal with a first conductivity, and a high resistance member consisting of a second metal with a second conductivity, the second metal having a resistivity higher than that of the low resistance member. The probe pin has a multi layered part between a contact part and a terminal part, where the multi layered part is configured in the order of the high resistance member, a slit of air gap, and the low resistance member, in a first direction different from a buckling direction of the probe pin at the time of inspection of a test object. The low resistance member and the high resistance member are arranged so as not to overlap with each other, when the multi layered part is viewed from the buckling direction.

The present invention provides a method for analyzing the highest temperature experienced by an electrothermal alloy based on surface color. The 0Cr25Al5 electrothermal alloy and its products work in an air atmosphere and a high temperature environment. The surface is oxidized at high temperature to produce an oxide film. The higher the temperature, the faster the oxidation speed, and the thicker the oxide film thickness. The oxide film is extremely thin and dense, and can show interference colors. The color of the interference color is related to the thickness of the oxide film. After the 0Cr25Al5 electrothermal alloy and its products experience high temperature oxidation for a certain period of time, the thickness of the oxide film generated is related to the highest temperature experienced. The visible light reflectivity test using a spectrophotometer can obtain the visible light wavelength with the highest reflectivity. Substituting it into the formula given by the present invention, the highest temperature experienced by the 0Cr25Al5 electrothermal alloy and its products can be calculated. The advantages of the method of the present invention are: no need to prepare for the test in the early stage; no need to observe the 0Cr25Al5 electrothermal alloy and its products when they are working; non-contact type is adopted, and the surface of the test object is not damaged.

The utility model relates to a low-disturbance high-response-speed release device and a wind tunnel test system. The releasing device comprises a base, a limiting stopper and a cutter. A rope for hanging a test object is connected to the base. The limiter is provided with a limiting hole, the rope penetrates through the limiting hole, and the rope is in clearance fit with the limiting hole. One side of the hole wall of the limiting hole is open so that the rope can enter the limiting hole in the radial direction. The two limiting stoppers are arranged in the length direction of the rope in a spaced mode. And the cutter is positioned between the two limiters. The cutter is configured to be connected to the base in a controlled and slidable mode along the plane perpendicular to the length direction of the rope. The releasing device can prevent or reduce transverse movement and shaking of the rope, so that interference to the initial state of a test object is reduced or avoided, and the effect of improving the test precision is achieved. The experiment preparation time can be shortened, and the experiment efficiency is improved.

The invention provides a bending test device and method, and the device is used for carrying out the bending test of a to-be-tested object, and the device comprises a cabin body, the interior of the cabin body is provided with a cabin, and the bottom of the cabin body is provided with a bearing platform; the environment control device is used for at least regulating and controlling the air pressure, the humidity, the temperature and the illumination radiation in the cabin, so that the test environment in the cabin simulates different climatic environments; the bending mechanism is arranged on the bearing table in the cabin and is used for bending the object to be tested; and the detection mechanism is used for detecting the aging state of the bent object to be detected. According to the bending test device provided by the embodiment of the invention, the external environment can be simulated, the change state of the to-be-tested object in the bending process can be monitored, and the accuracy and the reliability of a bending test result are improved.

A system, method, and computer-program product includes obtaining, via an application programming interface (API), a test object that includes application usage data of a deployed AI application for a target time span, executing, in real-time by one or more computer processors, one or more application behavior tests that assess an operational behavior of the deployed AI application, detecting, by the one or more computer processors, that a misbehavior occurred in the deployed AI application during the target time span and one or more deviant features contributing to the misbehavior in response to executing the one or more application behavior tests, and returning, by the one or more computer processors, the one or more deviant features contributing to the misbehavior to a subscribing entity associated with the deployed AI application.