5659results about How to "Improve test efficiency" patented technology

The invention discloses an intelligent software testing method and system based on automatic script generation, and relates to the technical field of software testing, and the method comprises the following steps: deploying a distributed data acquisition probe, dynamically adjusting sampling frequency, collecting software operation data, and extracting data features based on a deep learning model; based on the data features, establishing a behavior pattern classification system, and mapping behavior patterns to realize hierarchical behavior classification; the method comprises the steps of constructing a test scene, generating test data, executing a test task, monitoring a test execution state in real time, calculating a test efficiency index, evaluating and feeding back a test effect, and dynamically adjusting a feature extraction strategy. According to the method, deep learning and reinforcement learning technologies are utilized, accurate recognition and classification of software behavior modes are achieved, and comprehensiveness and effectiveness of testing are guaranteed through multi-dimensional coverage rate analysis and a closed-loop optimization mechanism; and meanwhile, the automation level and the intelligent degree of software testing are remarkably improved, and a powerful guarantee is provided for improving the software quality.

The invention discloses a link test method, electronic equipment, a storage medium, a product and computing equipment, and is applied to the technical field of data transmission. The method comprises the following steps: determining to-be-tested equipment according to a to-be-tested link and a link training trigger condition; when the to-be-tested link finishes executing the link training operation and the link is recovered, determining a target register storing running state parameter information of the to-be-tested link in the to-be-tested device based on a link training trigger condition, and reading the running state parameter information; and when the link to be tested is diagnosed to have no fault according to the running state parameter information, executing the corresponding link training operation again based on the link training triggering condition. According to the method, the problems that related technologies depend on special tools, the starting time is long and the low-probability hardware fault reproduction period is long can be solved, the applicability is high, and the link testing efficiency can be effectively improved.

The invention is suitable for the technical field of reliability test of numerical control machine tools, and provides a ball screw pair comprehensive performance test device and method for simulating real working conditions. The device comprises a ball screw pair, a test device base, a rolling guide rail pair, a grating ruler integrated installation unit, two sets of support driving units, a loading workbench, an axial force simulation loading unit, a tested workbench and a comprehensive performance detection unit. The two sets of supporting and driving units are distributed on the test device base in a staggered alignment manner and are respectively connected with the loading workbench and the tested workbench, and synchronous driving of the loading workbench and the tested workbench is realized through synchronous control; and the axial force simulation loading unit realizes static and dynamic simulation loading of the axial force through electro-hydraulic servo control. According to the invention, a test device and technical support are provided for carrying out the reliable comprehensive performance bench test of the ball screw pair, and the problems of the ball screw pair in the aspects of high-frequency dynamic load simulation loading, comprehensive performance test and motion tracking loading are solved.

The invention provides a pattern multi-row matching method and device for ATE equipment, and the method comprises the steps: determining a cyclic pattern sequence comprising a plurality of rows of target patterns based on the number of matched rows when a first to-be-tested pattern carrying a LOOPMATCH instruction is recognized after a test is started; lOOPMATCH circulation is executed on the basis of the circulation Pattern sequence, and in each LOOPMATCH circulation, the Pattern matching result of the target Pattern in each row is determined; when all Pattern matching results pass in one cycle, jumping out of the LOOPMATCH cycle and determining that the cycle Pattern sequence test passes, otherwise, continuing to circulate to the maximum cycle number and then determining that the cycle Pattern sequence test does not pass; according to the technical scheme of the embodiment of the invention, when the first to-be-tested Pattern carrying the LOOPMATCH instruction is detected, multiple rows of target Patterns are constructed for loop testing, and LOOPMATCH loop is jumped out after any complete matching succeeds, so that the depth of the Pattern sequence can be effectively reduced, multi-row synchronous multi-time level matching is realized, the test resource overhead is reduced, and the test efficiency is improved.

The invention discloses a glass cold bending test electric loading device and a test method.The device comprises a base, a fixing support, a pressure loading test piece, a lifting component, a loading integrated piece and a control unit, the fixing support is adjustably installed on the base, the pressure loading test piece is arranged at the top end of the fixing support, and the lifting component is arranged on the loading integrated piece; the pressure loading test piece is used for providing extrusion stress for a glass cold bending test and outputting stress data, the lifting component is installed on the fixed support, the loading integrated piece is arranged below the pressure loading test piece and installed on the lifting component through a connecting part, and the loading integrated piece is used for providing various glass cold bending loading modes. And the pressure loading test piece and the lifting component are electrically connected with the control unit. The pressure loading test piece connected with the control unit is introduced, and the lifting component and the loading integrated piece are matched, so that the loading synchronism, precision and test safety are improved, the data acquisition accuracy is ensured, the test efficiency is improved, and the device is suitable for cold bending test loading of various different forms.

The invention relates to the technical field of textile tension tensile test, in particular to a tensile degree detection mechanism for textile processing, comprising: a positioning base; a closed machining rack is assembled on the positioning base in an annular angle adjusting mode, and a stretching annular transmission structure and a longitudinal clamping stretching structure are symmetrically assembled along the middle of the inner side of the closed machining rack. The stretching annular transmission structure is matched with the longitudinal clamping stretching structure to carry out stretching detection on the cut textile; the device has a dynamic stretching test function, a servo motor drives a worm, a worm gear, a nut and a screw to perform spiral transmission, so that the clamping plate frames clamping textile cloth are far away from each other to perform stretching test, and a stretching annular transmission structure is matched with the servo motor rotating in the opposite direction to realize twisting stretching test on the textile cloth; more complex stress conditions are simulated, and the equipped monitoring camera is used for carrying out visual picture recording on textile cloth in a stretching test, so that a basis for real-time test monitoring and subsequent analysis is provided.

The invention relates to the technical field of battery testing, and discloses a truck lithium battery testing method and device based on Bluetooth communication. The method comprises the following steps: performing intelligent remote matching processing on Bluetooth identification information of a truck lithium battery management system to obtain a remote Bluetooth control key, and performing lithium battery data acquisition protocol test processing to obtain a dual-channel acquisition instruction set; performing dynamic voltage, current and temperature cooperative acquisition processing on the dual-channel acquisition instruction set to obtain a multi-dimensional battery working condition characteristic spectrum; remote parameter linkage calibration processing is carried out on the multi-dimensional battery working condition characteristic spectrum, an intelligent calibration control sequence is obtained, remote charging and discharging management test processing is carried out, and a battery running state monitoring record is obtained; and performing remote health assessment processing on the battery running state monitoring record to obtain a lithium battery performance test report. According to the lithium battery testing scheme, physical connection is not needed, operation is easy and convenient, and the real-time monitoring capability is achieved, so that the testing efficiency and flexibility are improved.

The invention provides an abnormal sound test bench capable of rapidly switching modes. The abnormal sound test bench comprises a base, a first test unit, a second test unit and a power device arranged between the first test unit and the second test unit. The power device comprises two vibration exciters arranged in the y direction. The first test unit can make a to-be-tested part generate single-degree-of-freedom vibration in x, y and z directions, and the second test unit can make the part generate pitching and side-tipping composite-degree-of-freedom vibration. The first test unit and the second test unit can be respectively driven by the same group of power device, only the tested part needs to be transferred in a short distance during mode conversion, the same group of power device is used in the two test modes, and the test efficiency is greatly improved during the test of the rear half part. The relevant parameters between the tested part and the power device are acquired in the first half part, so that the debugging time between the part and the power device is greatly saved, and the testing efficiency is improved.

The invention discloses an electrostatic discharge immunity automatic test management method and system. The method comprises the steps that real-time environment state data in an experimental environment are collected in real time, then redundancy mechanism and check algorithm processing is carried out, and discharge parameters of an electrostatic generator are calculated and adjusted in real time through a multi-dimensional nonlinear self-adaptive control algorithm; performing electrostatic discharge based on the adjusted discharge parameters of the electrostatic generator, generating electrostatic interference of specified parameters, simulating an actual scene of electrostatic discharge, further transmitting a generated electrostatic discharge interference signal to test equipment, and generating a corresponding response signal; the response signals and the interference signals are preprocessed and then subjected to deep spectrum analysis, key features are extracted, and the immunity of the test equipment is intelligently evaluated through a neural network model. The control precision of the electrostatic generator is improved, the electrostatic generator can dynamically adapt to the change of the experimental environment, and it is ensured that the discharging condition is always in the optimal state.

The invention discloses a network protocol fuzz testing method and device based on state guidance and seed variation, and the method comprises the steps: 1), manually constructing a high-quality basic seed according to an official RFC protocol document, and enabling the seed to be mapped with a corresponding state; 2) inputting the message sequence into a target program for fuzzy testing, interacting with the target program, monitoring a program state, and obtaining feedback; 3) according to the protocol state code and path coverage rate feedback, selecting seeds with high coverage rate to carry out information retention variation, and reserving the state conversion function of the seeds to reduce the number of invalid seeds; and 4) generating a state guide message sequence: selecting a target test state according to a current state and a returned protocol state code, preferentially selecting a state which is not reached or has few arrival times as a target, and then generating a message sequence capable of reaching or approaching the target state according to the basic seed. According to the method provided by the invention, the state information of the protocol is fully utilized, the state conversion capability of the seed is reserved in the seed variation process, and the efficiency and the quality of the network protocol fuzz test are improved through state guidance and targeted message sequence generation.

The invention relates to the technical field of electrochemical testing, in particular to an electrochemical impedance spectroscopy testing system based on multi-model combination, which comprises a data acquisition unit, a deep learning analysis unit, a frequency control unit and a feedback regulation unit. The deep learning analysis unit adopts a convolutional neural network and a long-short-term memory network to construct a model, after training, features are extracted, trends are analyzed, and dynamic frequency priority ranking is carried out, the frequency control unit drives the electrochemical workstation to adjust the frequency according to a weight generation strategy, and the feedback adjustment unit calculates predicted and actually measured impedance errors. When the threshold value is exceeded, parameter correction is carried out in each unit, the test frequency is intelligently optimized according to the dynamic change of the electrochemical process, key information is accurately captured, resource waste is avoided, the test efficiency and accuracy are improved, the stability and reliability of the system are ensured through a feedback regulation mechanism, and the research and analysis capability of the electrochemical system is effectively improved.

The invention discloses a flexible photovoltaic support aeroelastic response wind tunnel test platform and method, and the platform comprises a platform body which comprises a wind field simulation region and an experiment test region. A wind tunnel wedge is arranged at the front section of the incoming flow wind direction in the wind field simulation area; a flexible photovoltaic support model is arranged in the experimental test area; the flexible photovoltaic support model comprises a photovoltaic panel, a flexible photovoltaic panel support and a flexible photovoltaic panel base; the flexible photovoltaic panel base is fixed on the wind tunnel turntable; the photovoltaic panel is fixed on the flexible photovoltaic panel base through the flexible photovoltaic panel bracket; steel cables penetrate through the interior of the photovoltaic panel, and the steel cables on the two sides are connected with an electronic tension meter and a tightening device. Through the platform and the method, a real complex wind field environment can be simulated, dynamic response data of the support under different working conditions can be obtained, and a scientific basis is provided for design optimization and wind resistance improvement of the flexible photovoltaic support.

The invention discloses an automatic test method based on natural language processing, which comprises the following steps: S1, generating a test case: performing semantic analysis on a software requirement document or a test requirement by utilizing a natural language processing technology, extracting key information, and combining the extracted test information and a preset test case template to generate a test case; a preliminary test case is automatically generated; the key information comprises a test purpose, an operation step and an expected result; s2, analyzing the test case; s3, generating a test script; s4, executing the test script; and S5, analyzing a test result. According to the automatic test method based on natural language processing, the test requirements described by the natural language can be automatically analyzed, the test case is generated, the test is automatically executed, and the test report is finally generated, so that the software test efficiency is improved, the workload of manually compiling and executing the test case is reduced, and the test efficiency is improved. And the coverage rate and the accuracy of the test are improved, more software defects can be found, and the quality of software products is guaranteed.

The invention discloses a software testing automation platform and an intelligent optimization method thereof, and particularly relates to the technical field of software testing. The test case management module simplifies definition and automatic classification of test cases through a visual interface and a natural language processing technology; secondly, a test script generation module automatically generates and optimizes a test script by utilizing a preset template library and a self-defined script function in combination with an intelligent optimization tool; the test execution module executes test tasks in parallel in a multi-server or virtual machine environment through a task scheduling algorithm, and extracts environment load and response time characteristics in real time; then, the test result analysis module comprehensively analyzes an execution result by using the data prediction model, and identifies and marks an abnormal test case; and finally, the intelligent optimization module deletes the abnormal cases and dynamically adjusts the priorities of the normal cases to ensure that the high-priority test cases are executed preferentially, so that the automation level of test management is effectively improved, and the test execution efficiency and the result accuracy are optimized.

The invention discloses a performance pressure test system and method applied to a large model streaming interface, belongs to the technical field of artificial intelligence, and aims to solve the technical problem of how to comprehensively evaluate the performance of the large model streaming interface in a high-concurrency scene. Comprising a test data management module used for constructing a test data set; the concurrent access simulation module is used for dynamically configuring concurrent access parameters and simulating and generating a concurrent access scene of a plurality of users; the performance monitoring module is used for monitoring and recording the large-model streaming interface in the concurrent access scene; the fault-tolerant processing module is used for analyzing and processing the abnormal condition of the large model interface in the concurrent access scene based on a predefined abnormal processing strategy and forming an error log file; the post-processing module is used for calculating a performance index based on the monitoring data; and the result output module is used for constructing a test result file based on the error log file and the performance index and outputting the test result file.

The invention discloses a stereo matching method based on context geometric features and distortion parallax optimization, which comprises the following steps of: firstly, shooting a calibrated left picture and a calibrated right picture through a binocular camera, extracting multi-scale context features of the two pictures, and calculating the similarity between feature points according to the feature points of the left feature graph and the right feature graph under different parallaxes; the matching cost is the matching cost, so that the constructed geometric cube contains rich geometric matching information. Meanwhile, context features are copied and expanded into context feature cubes with the same size according to parallax, and rich context information is contained. The geometric cube contains matching conditions of feature points of left and right views with different parallax errors, cost aggregation is guided through context features of the left view, and context feature information, feature point cost matching information under different parallax errors and geometric information of adjacent feature points are preliminarily fused to improve cost matching reliability. And generating a geometric attention weight cube. And filtering the contextual feature cube.

The invention relates to the technical field of semiconductor power device testing, in particular to a dynamic reverse bias testing method and system for a semiconductor power device, which can accurately evaluate the performance of the device under a dynamic reverse bias condition and improve the testing efficiency and accuracy. The method comprises the following steps: acquiring a plurality of electrical characteristic data of a to-be-detected semiconductor power device to obtain an electrical characteristic data set; inputting the electrical characteristic data set into a dynamic reverse bias test model to obtain a first dynamic reverse bias test result; transmitting a fast changing backward voltage pulse signal to the to-be-detected semiconductor power device to obtain an output signal after the backward voltage pulse signal passes through the to-be-detected semiconductor power device; judging whether the output signal exceeds a preset abnormal threshold value or not; if not, outputting the first dynamic reverse bias test result as a dynamic reverse bias test result of the semiconductor power device; and if yes, extracting the obtained abnormal output signal, and inputting the abnormal output signal into the dynamic reverse bias failure analysis model.

The invention discloses a garment fabric color fastness detection method and system, and relates to the technical field of fabric detection.The method comprises the steps that initial color information and initial texture information of a to-be-detected garment fabric are integrated; simulating the action factors of the to-be-detected garment fabric in the various preset scenes so as to perform color fastness testing on the to-be-detected garment fabric in the various preset scenes; wherein the action factors in the multiple preset scenes comprise friction, water washing, raining, insolation, illumination, seawater impregnation, saliva impregnation, water stains and sweat stains; collecting a reference color information set and a reference texture information set of the to-be-detected garment fabric subjected to the color fastness test in the various preset scenes; analyzing the initial color information and the reference color information set after the color fastness test in various preset scenes; and evaluating the color fastness of the to-be-detected garment fabric according to the calculated color difference condition and the change condition of the surface structure of the to-be-detected garment fabric.

The invention relates to a processing method and device for a test data file and a readable storage medium, and the method comprises the steps: analyzing the test data file, and obtaining an analyzed file; determining whether the analysis file is complete or not; under the condition that the analysis file is incomplete, obtaining corresponding statistical information based on the test data record in the analysis file, and supplementing the statistical information into the analysis file to obtain a repair file; and outputting a test result corresponding to the test data record on the basis of the repair file, thereby solving the problem that the test data generated under the condition of abnormal chip test cannot be utilized in the prior art.

The invention provides an automatic test system and method capable of being arranged and executed in batches, and the system comprises a test case arrangement plan table which is used for customizing the starting time, the precondition and the dependency relationship of each test item, whether execution is terminated or not when the test item fails, grouping execution, result archiving, product dependency and user-defined labels; the default configuration management module is used for parameterizing execution and supporting simple configuration to realize visual operation of the test script; the software framework supports an object-oriented language and provides multi-process processing to improve execution efficiency; and the distributed structure is used for realizing concurrent parallel execution across a plurality of processors or machines and supporting synchronous import and concurrent asynchronous execution of a plurality of test items. Through the support of multi-process processing and a distributed structure, the advantages of a multi-core processor and computing resources of cross-network nodes can be fully utilized, multiple test items are executed in parallel, the execution efficiency of automatic testing is greatly improved, and the overall testing period is shortened.

The utility model relates to measuring tape verification equipment, which comprises a detection table, a detection equipment mounting slideway, a measuring tape fixing structure, a twitching detection table structure and a reference scale measuring device arranged at the upper part of the twitching detection table structure, the measuring tape fixing structure comprises a measuring tape fixing seat, a measuring tape clamping table arranged at the upper part of the measuring tape fixing seat, and a measuring tape fixing clamp arranged on the measuring tape clamping table; the twitching detection table structure comprises a sliding piece set arranged at the upper end of the detection equipment installation slide way, a sliding detection seat body in butt joint with the sliding piece set, a ruler end fixing clamp arranged on the upper portion of the sliding detection seat body and a twitching control power assembly arranged at the outer side end of the sliding detection seat body. According to the utility model, through numerical control type measuring tape verification, the rapid taking and placing of the steel measuring tape in the steel measuring tape verification process are realized, the problem that the whole equipment in the prior art is relatively large and is not suitable for on-site measuring tape detection is solved, and the measuring tape verification efficiency is improved. And the device is convenient to operate and suitable for verification and measurement of a large batch of steel tapes.

The invention relates to the technical field of window opener chains, in particular to a window opener chain strength testing device based on electric window opener production and a testing method.The window opener chain strength testing device comprises a frame and a testing window opener, a simulation window is arranged on one side of the frame, and the top of the simulation window is fixedly connected with a rotating shaft rotationally connected with the frame; a window opener chain is mounted in the test window opener, one end of the window opener chain is fixedly connected with the simulation window through a connecting seat, a mounting cylinder is arranged in the frame, the outer surface of the mounting cylinder is in sliding connection with a rotating ring, one end of the rotating ring is fixedly connected with a pull handle rotationally connected with the simulation window, and the other end of the rotating ring is fixedly connected with the test window opener. A mounting cylinder is arranged in the frame, a resistance assembly is arranged in the mounting cylinder, a straight plate is arranged on one side of the frame, a pressure applying plate for applying resistance to the simulation window is arranged at the bottom of the straight plate, sliding seats are slidably connected to the two ends of the frame, and pressure assemblies acting on the straight plate are arranged on one sides of the two sliding seats.

The invention relates to the technical field of fermentation, in particular to a dough fermentation temperature control device which comprises a fermentation box, a heating device, a cooling device, a rotating shaft, a dough bearing disc and a dough elasticity detection device. Judging whether the initial heating power of the heating device needs to be adjusted according to the fermentation temperature rise slope comparison result to obtain second heating power; according to the fermentation temperature comparison result, whether a cooling device is started or the current fermentation dough temperature is detected or the fermentation dough continues to be heated with second heating power is judged; judging whether the volume of the fermented dough needs to be detected or not according to the fermentation temperature comparison result; and adjusting the second heating power according to the volume growth curve comparison result to obtain second constant heating power. By measuring the temperature, the volume and the elasticity of the dough, the fermentation temperature in the fermentation process is adjusted, so that the dough fermentation accuracy is ensured.

The invention discloses a storage chip energy consumption test method and device based on multi-objective optimization. The method comprises the following steps: S1, initializing a test environment; s2, setting a multi-objective optimization model and a fuzzy logic system; s3, constructing an initial test data set; s4, calculating the membership degree of each test target; s5, generating a group of initial optimization parameter combinations; s6, dynamically adjusting the test parameters on the basis of the initial optimization parameter combination; s7, generating an optimized test parameter combination; s8, repeating the steps S6 and S7 until a preset optimization convergence condition is reached, and generating a final test parameter combination; s9, obtaining final test result data; and S10, analyzing the final test result data, comprehensively evaluating the performance of each test target through a fuzzy logic system, and generating a multi-target optimization test report of the storage chip. According to the method, the problems of multi-target test balance, test process optimization and balance between efficiency and accuracy in the prior art are effectively solved.

The invention provides a wafer testing device capable of being rapidly maintained, and relates to the technical field of semiconductors, the wafer testing device comprises a fixed plate, the fixed plate is provided with a control module, and a power supply module, a probe card, a heating lifting module and at least one testing module which are connected with the control module, and a wafer to be tested is integrally arranged in the probe card. The power supply module is connected with the probe card to supply power to the to-be-tested wafer, a heater and a probe are arranged in the heating lifting module, and the heating lifting module is used for driving the to-be-tested wafer in the probe card to be in contact with the probe and heating the to-be-tested wafer. The test module comprises a bottom plate which is in push-pull connection with the fixed plate along the first direction and a switch array measurement assembly which is arranged on the bottom plate and is in plug-in connection with the bottom plate along the second direction, and the switch array measurement assembly is used for testing different parameters of the to-be-tested wafer when the to-be-tested wafer is in contact with the probe. The switch array measurement assembly is in plug-in connection with the bottom plate, and the bottom plate is in push-pull connection with the fixed plate, thereby facilitating the replacement of the test module, and achieving the quick disassembly and assembly.

The invention relates to a regression testing method and system, computer equipment and a storage medium, and the method comprises the steps: obtaining a code change record, and carrying out the data preprocessing of the code change record; feature extraction is carried out on the code change records after data preprocessing, change features are obtained, and the change features at least comprise code elements and element relations; analyzing the change features and each basic test case in a test case library by using a risk identification model, and determining a regression risk level of each basic test case; determining a regression test case, wherein the regression test case comprises a basic test case of which the regression risk level is greater than or equal to a preset level threshold; and executing a regression test according to the regression test case. According to the invention, the test efficiency of code change records can be improved, and functional modules with relatively high regression risks are covered as much as possible.

The invention discloses an electroencephalogram sensing electrode and a using method thereof.The electroencephalogram sensing electrode comprises a shell assembly, the shell assembly comprises a shell, a base and a top cover, the shell and the base are connected to form a slow-release probe containing cavity, the shell and the top cover are connected to form a liquid storage cavity, and a fluid valve, a slow-release material, a capillary hole plug, a rapid flow hole and a slow flow hole are arranged in the shell assembly; a semi-dry electrode is made by injecting conductive liquid or a wet electrode is made by injecting conductive paste, and through a fluid valve, a slow-release material, a capillary hole plug, a quick flow hole and a slow flow hole, the electrode can quickly supply liquid to the position between the electrode and the scalp to reduce resistance and slowly supply liquid to reduce resistance, and the electrode-scalp interface impedance can be quickly reduced and can be balanced and stabilized for a long time. The electrode has the advantages that the electrode can be used as a semi-dry electrode by injecting conductive liquid, can also be used as a wet electrode by injecting conductive paste, and has the functions of storing the conductive liquid for a long time without releasing the conductive liquid when the electrode is idle and supplying the conductive liquid in two modes of fast and slow to reduce scalp-electrode impedance when a user wears the electrode to acquire signals.

The invention provides an unmanned aerial vehicle inertial measurement unit zero position adjusting device which comprises a workbench, a base, a first lead screw nut mechanism assembly, a first connecting rod, a second lead screw nut mechanism assembly and a second connecting rod, a cylinder is arranged in the middle of the base, and the center of the bottom face of the workbench is hinged to the cylinder; the first lead screw nut mechanism assembly and the second lead screw nut mechanism assembly are perpendicularly installed on the base, the lower surface of the workbench is provided with a first shaft and a second shaft which are rotationally connected with the workbench, the upper end of the first connecting rod is hinged to the first shaft, and the lower end of the first connecting rod is hinged to one end of the first lead screw nut mechanism assembly. The upper end of the second connecting rod is hinged with the second shaft; the invention further provides a zero position adjusting method. According to the zero adjustment device and method, horizontal zero adjustment of the inertial measurement unit of the unmanned aerial vehicle is easy to operate, reversing in the pitching direction and the yawing direction is accurate and rapid, the adjusted zero of the inertial measurement unit is high in precision and safety, meanwhile, time and labor are saved, and the test efficiency can be remarkably improved.

The invention discloses a continuous wind tunnel force measurement test balance zero point monitoring and correction method, and belongs to the technical field of aircraft wind tunnel tests. The problem that in the prior art, in order to guarantee the accuracy of test data, a compressor needs to be shut down frequently to collect windless test data, and the continuous wind tunnel test efficiency is greatly affected is solved. The problem that zero change correction cannot be carried out on collected balance strain in the prior art is solved. According to the invention, through the installation of the wind tunnel experiment support system and the wind tunnel test model, the collection of windless and windy test data and the calculation of the balance zero point correction value based on time change, the accurate correction of the balance zero point of the force measurement test is realized, and then the six-element force and torque of the aerodynamic load borne by the test model are calculated. The method can significantly improve the efficiency of the continuous wind tunnel test, reduces the time for collecting the zero point and the dead weight of the balance, can significantly improve the precision and the reliability of the continuous wind tunnel force measurement test data, and can be applied to the wind tunnel force measurement test.

The invention provides a limit test method, system and device for an artificial intelligence model and a medium, and the method specifically comprises the steps: constructing a plurality of scene templates for different types of games, and generating a test case set by combining and transforming the scene templates according to a boundary condition input by a user; based on the test case set, according to a preset optimization objective function, adopting a heuristic search algorithm to determine an optimal test parameter combination meeting the artificial intelligence model; performing automatic testing on the artificial intelligence model according to the optimal test parameter combination, and generating a model test result; and analyzing the model test result, determining the performance of the artificial intelligence model under the boundary condition, generating a model test report, and carrying out optimization and re-test on the artificial intelligence model through the model test report. According to the method, full-process automation and intellectualization of game AI model testing are achieved, and the testing efficiency and the model quality are remarkably improved.