1581 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 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.

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.

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 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 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.

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.

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.

The embodiment of the invention discloses a test case generation method and device and electronic equipment. In the method, under the condition that object information of a test object is obtained, a first cue word can be obtained through the object information and a first network model, then after a first test point is determined according to the first cue word, a second cue word is obtained through a historical test case corresponding to the first test point and the first cue word, and then the second cue word is sent to the test object. And obtaining the target test case through the second prompt word and the second network model. Therefore, under the condition that the first cue word is obtained through the object information, the first test point can be further determined through the first cue word, so that the first cue word can be updated based on the historical test case corresponding to the first test point to obtain a more accurate second cue word, and the user experience is improved. The target test case obtained through the second cue word and the second network model is more accurate, so that the quality of the test case is improved.

The invention belongs to the field of automobile brake testing, and relates to an opposed piston brake caliper assembly'return stroke and clearance 'performance testing method and device, and the method comprises the steps: S1, full-stroke lubrication: carrying out the pressurization under the condition of no brake block, and carrying out the pressure reduction so as to completely push a piston back to the bottom of a cylinder hole; s2, simulating the position of the piston in a new product gap; s3, zero setting of the displacement sensor: determining the initial hydraulic pressure and performing zero setting according to the initial hydraulic pressure; s4, testing the return stroke and the clearance: applying 1 MPa of gradually rising pressure to the brake caliper, releasing the pressure, keeping the pressure for 120 seconds, sequentially testing the pressure of 3 MPa, 5 MPa, 7 MPa, 9 MPa and 11 MPa until 15 MPa, and testing each pressure twice; s5, measuring and recording relative displacement between the piston and the shell under each pressure; and S6, analyzing the output data, and performing data processing. A test object of the method comprises a friction block mode and a steel block mode. The device is composed of a pressurization adjusting system, a clamping alignment unit and a test data analysis system. The testing of the return stroke and the gap of the fixed card has great significance in analyzing and reducing dragging, matching liquid demand and other key performances.

The embodiment of the invention provides an interrupt recovery method and device in a test link, electronic equipment and a storage medium, and relates to the technical field of automated test.The method comprises the steps that in response to page changes of a test object in the automated testing process, a state snapshot library corresponding to the page changes is constructed; in response to detection of an abnormal event triggering test interruption, extracting abnormal snapshot data corresponding to the abnormal event and first effective snapshot data corresponding to the abnormal snapshot data from the state snapshot library; and performing exception backtracking according to the exception snapshot data and the first effective snapshot data, determining a first target test operation corresponding to the exception event, and executing the first target test operation, thereby reducing dependency of manual intervention, and realizing adaptive interrupt recovery.

A mask-based testing system for detecting a biomarker received from lungs and airways of a test subject includes an exhaled breath condensate (EBC) collector integrated into an inside of a face mask worn by the test subject. The EBC collector converts breath vapor received from the lungs and airways of the test subject into a fluid biosample. A biosensor is fixed to the inside of the face mask for receiving a fluid biosample from the EBC collector and testing the fluid biosample for a target analyte. The biosensor generates a test signal dependent on at least the presence and absence of the target analyte in the fluid biosample. An electronic circuit is fixed to an outside of the mask for receiving the test signal, determining from the test signal a test result signal depending on detecting or not detecting the target analyte, and transmitting the test result signal to a remote receiver.

The invention provides an electrically conductive contact pin that improves test reliability for a test object and prevents separation in a side opening direction of a guide hole due to a lower catch portion.

The invention belongs to the field of hydrogen filling control, relates to a data analysis technology, and aims to solve the problem that control parameter adjustment cannot be performed by combining various basic parameters of a hydrogen filling machine in a hydrogen filling process in the prior art, in particular to a hydrogen filling control method and equipment of the hydrogen filling machine and a storage medium. Comprising the following steps: performing control test on the filling process of the hydrogen adding machine: marking the hydrogen adding machine as a test object, allocating a plurality of groups of test tasks to the test object, allocating a group of control parameters to the test tasks, performing filling control on the test object according to the control parameters, and executing the test tasks; dynamic optimization control over the hydrogen filling process of the hydrogen filling machine is achieved, and the system can automatically adjust the filling parameters according to different environments and equipment states by establishing association between the basic parameters and the control parameters; according to the method, the fluctuation of the cold load of the heat exchanger is effectively reduced, and the nonlinear cumulative effect of the temperature rise of the storage tank is reduced.

Proposed are a test device and a manufacturing method of the test device capable of testing a test object that is provided with an electrode which has a size and / or a pitch distance ranging from 1 to 100 micrometers (μm).

The invention relates to the technical field of anti-deception positioning, and discloses a GNSS equipment anti-deception signal interference positioning capability test system and method, and the system comprises a receiving module, a deception signal generation module, a transmitting module, a reference receiving module, a power dividing module, and a control module. The method corresponds to the system. According to the application, the power of a single-path forwarding type deception signal, a single-path forwarding type deception signal and a single-path forwarding type deception signal can be adjusted in the frequency bands of 1.5 GHz to 1.6 GHz and 1.2 GHz to 1.3 GHz, the power of the deception signal can be adjusted, a plurality of tested objects can be compared and tested at the same time, and the problems of large difference between a test environment and a real environment, low reliability of a test result and the like in the prior art can be effectively solved.

The invention provides a marine intelligent test device, which comprises a heave measurement unit, a tension detection device, a winch, a telescopic mechanism and a control unit, and is characterized in that the heave measurement unit is used for measuring a heave signal of a ship body and transmitting the heave signal of the ship body to the control unit; the winch is used for winding and unwinding a cable, the telescopic mechanism comprises a pulley block used for guiding the cable, the pulley block is installed on a telescopic beam, the telescopic beam is connected with a telescopic driving device used for driving the telescopic beam to horizontally move, and the cable of the winch penetrates through the pulley block on the telescopic mechanism to be connected with a tested object; the tension detection device is used for detecting the tension on the cable and transmitting a tension signal to the control unit; and the control unit is used for receiving the heave signal and the tension signal, outputting a first control signal to the winch according to the heave signal and the tension signal so as to realize winding and unwinding of the cable, and outputting a second control signal to the telescopic driving device so as to realize expansion or retraction of the telescopic beam.

The invention provides a chip verification configuration file generation method and device, a medium and electronic equipment, and the method comprises the steps: generating corresponding target universal verification configuration according to a verification angle in a file generation request when a test case configuration table comprises a target test case in a file generation request; and generating a chip verification configuration file corresponding to the target general verification configuration according to the test object, the domain configuration mode and the register configuration description file in the test case configuration table. According to the embodiment of the invention, a universal register configuration description format and a matched automation scheme are provided, the configuration requirement for automatically generating different verification modes can be met, the efficiency and correctness of chip verification configuration are greatly improved, and the period of multiple verification modes including Cmodel verification, simultation verification, emulation verification, SDK verification and the like is shortened.

The invention discloses a multichannel thermocouple temperature compensation method for a liquid rocket engine test, and relates to the technical field of liquid rocket engine tests, and the method comprises the steps: determining the type of a target thermocouple temperature sensor according to the characteristics of a tested object in a to-be-tested liquid rocket engine, and determining a corresponding temperature compensation wire; a target thermocouple temperature sensor is connected with a temperature compensation wire to form an acquisition device; a thermocouple voltage signal and a thermistor voltage signal are acquired in real time through an acquisition device, and the signals are transmitted to a processor based on a wiring terminal in the temperature compensation cabinet; and the thermocouple temperature corresponding to the input data is determined through a preset cold end compensation algorithm in the processor. According to the invention, the precision and reliability of temperature measurement can be improved, the system structure is simplified, the system cost is reduced, and the system is suitable for temperature measurement requirements of multi-channel, high-precision and complex environments in a liquid rocket engine test.

The invention belongs to the field of antenna quality detection, relates to a data analysis technology, is used for solving the problem that the electrical parameter performance of an antenna cannot be tested and analyzed in the prior art, and particularly relates to a dual-notch ultra-wideband antenna quality detection method and system. Comprising an electrical parameter test module, an environment adaptation test module and a comprehensive evaluation module which are connected in sequence, and the environment adaptation test module is further in communication connection with an adaptation optimization module; the electrical parameter test module is used for testing and analyzing electrical parameters of the antenna; the antenna is marked as a test object, and the test object is marked as an electrical parameter normal object or an electrical parameter abnormal object through a voltage standing wave ratio; according to the invention, the environmental adaptability of the antenna can be tested and analyzed, the electrical parameter performance of the single antenna is verified again according to the generated test environment, and the environmental adaptability of the batch of antennas is evaluated according to the proportion of the number of adaptive qualified objects in the verification result. And triggering adaptive optimization analysis when the environmental adaptability is abnormal.

The present application belongs to the technical field of communications. Disclosed are a fault diagnosis method, an electronic device and a storage medium. The method comprises: separately performing connectivity detection, configuration information detection and performance analysis on a path to be tested; during the process of performing the configuration information detection on said path and in response to a connectivity detection result obtained by performing the connectivity detection on said path, performing the configuration information detection on an object, the status of which is abnormal as indicated by the connectivity detection result, among a current test object of said path undergoing the configuration information detection and a next object to be tested; and on the basis of the connectivity detection result, the configuration information detection result and a performance analysis result, obtaining a fault diagnosis result of said path, the fault diagnosis result comprising information of the abnormal object.

The embodiment of the invention relates to the field of computer software testing, and discloses a buried point testing method and system, a server, a storage medium and a program product. The method comprises the following steps: calling a burying point test case described by a natural language corresponding to a tested object; identifying an operation platform of the tested object; converting the burying point test case described by the natural language into an underlying operation instruction executable by the operation platform, and sending the underlying operation instruction to the operation platform; and obtaining test result data reported after the operation platform executes the underlying operation instruction, obtaining expected result data of the buried point test case for the operation platform, and performing data assertion according to the test result data and the expected result data. According to the application, through the burying point test case described by the natural language, the operation steps in the burying point test are decoupled from the operation platform and the specific business, and the same test case can be suitable for different operation platforms, so that the problem of high maintenance cost caused by the fact that different platforms need to maintain test codes respectively is solved.

The invention provides a gait analysis and diagnosis method and device, electronic equipment and a readable storage medium, and relates to the field of artificial intelligence. The method comprises the following steps of: performing analysis and judgment according to the specific condition of a tested object to obtain a proper data sampling method, recording the tested object by using a monocular camera or a multi-view camera system, predicting a three-dimensional key point coordinate track of the motion of the tested object by using a visual model corresponding to the shooting method, and determining the three-dimensional key point coordinate track according to the predicted three-dimensional key point coordinate track. And performing motion reconstruction by using the coordinate track of the key point to obtain a diagnosis basis, and performing comprehensive analysis and diagnosis on the tested object through an artificial intelligence algorithm.