441 results about "Test sequence" patented technology

The invention discloses an insulation detection method for an electric automobile, belongs to the technical field of high-voltage safety monitoring of the electric automobile, and solves the problem that the insulation detection precision is reduced due to electromagnetic interference, impedance fluctuation and capacitive effect coupling in a dynamic load switching process. According to the scheme, a test sequence of discrete frequency points is applied to a high-voltage system; measuring a response current value through a current sensor and calculating a ground distributed capacitance value; connecting a test voltage source between positive and negative electrodes of the high-voltage system through a coupling circuit; applying a first pulse signal during no-load, dynamically setting the width according to the capacitance value, measuring a first response current value, and calculating an initial insulation resistance value; a second pulse signal with the same parameter is applied in the load state window, a second response current value is measured, and differential filtering is carried out in combination with the initial value to eliminate load noise; and comparing the filtered insulation resistance value with a threshold value, and outputting a fault signal when the insulation resistance value is lower than the threshold value. The method is used for monitoring the insulation state of the high-voltage system in real time and accurately early warning faults.

The invention discloses an unmanned aerial vehicle automatic test method, which comprises the steps of building a high-fidelity semi-physical simulation platform which comprises an unmanned aerial vehicle motion simulator, a three-dimensional environment simulator, a flight control module and a ground control station, and loading a complete machine fault model and a dynamic environment model; designing an intelligent multi-fault injection scheme, and defining a single fault scene, a combined fault scene and a fault evolution scheme; configuring a dynamic environment simulation scene including static environment parameters, dynamic environment elements and environment, and a fault interaction scene; executing a self-adaptive test process, automatically generating a test case, intelligently scheduling a test sequence and dynamically adjusting test parameters; and performing multi-source data intelligent analysis and evaluation, collecting test data, performing fusion analysis on fault influence, and generating an evaluation report. By constructing a whole machine fault and dynamic environment model, the scene authenticity is improved by 40%, and for example, the motor fault yaw deviation under strong wind is closer to a real machine compared with a traditional method.

The invention relates to a test case generation method and system based on an industrial agent. The method comprises the steps that an industrial data set is acquired, and a system dependency model is constructed; generating a path coverage test sequence through the first agent; generating a boundary value test data set through the second agent; generating abnormal test scene information through a third agent; and generating a test case set based on the path coverage test sequence, the boundary value test data set and the abnormal test scene information. In conclusion, by constructing the system dependency model and utilizing the multi-agent collaborative analysis process logic path, boundary condition and dependency relationship, the multi-surface coverage of the industrial control system test scene is realized, the automation of the test case generation is realized, the effects of improving the generation efficiency and enhancing the comprehensiveness of the test coverage are achieved, and the method is suitable for industrial control system test. Especially for the coverage of boundary conditions, abnormal scenes and concurrent paths, the manual dependence is reduced, and the reliability and consistency of the test are improved.

The invention relates to the technical field of chip testing, and discloses a clock reset system-level verification method and device based on general verification methodology, and the method comprises the steps: firstly analyzing a clock topological relation defined in a system control unit architecture document, and generating a clock reset information table; on the basis of the information table, an executable verification environment component and a virtual interface component are automatically generated through a script, the verification environment component comprises an excitation forwarding and processing component and can generate clock and reset signals matched with framework definition, and the virtual interface component can generate actual clock and reset waveforms; and finally, constructing a verification platform based on the components, calling the excitation sequence in the parameterized test sequence library, and carrying out system-level clock reset verification on the digital chip. And meanwhile, the parameterized test sequence library supports flexible adjustment of a verification scene and ensures that a test case fits a clock frequency defined by an architecture document, and a reset mechanism can improve the efficiency, accuracy and reliability of digital chip clock reset system-level verification.

The invention provides a chip aging test system and method based on a field programmable gate array, and the system is characterized in that a drive control panel comprises a processor module, a communication interface module, and an external connector module; the external connector module comprises a first connector and a second connector; the processor module is used for receiving a test instruction sent by the upper computer through the communication interface module, generating a test signal and a control signal, and receiving a test result acquisition instruction sent by the upper computer after the communication interface module sends response information to the upper computer; the first end of the processor module is also used for sending the interrupt information to an upper computer through the communication interface module and displaying the interrupt information; and the third end of the processor module is connected with the second connector and is used for outputting the control signal to the test board. Test signals are output to multiple groups of tested chips of the test board in parallel through the first connector, the second connector controls the test sequence of the to-be-tested chips on the test board, and hundreds of chips are driven by a single drive board and used for aging test.

The invention discloses a function switching device for transformer testing and a testing system thereof, relates to the technical field of transformer testing, is used for solving the problem of low testing efficiency, and is used for setting a switching time reference by acquiring transformer capacity information and detecting the number of closed relays of testing nodes and loop resistance. Analyzing a resistance fluctuation index and loop harmonic characteristics by combining historical loop resistance data, correcting a switching time reference, detecting three-phase winding current, generating a current balance index, evaluating a fault risk level, screening and marking to-be-tested nodes according to the fault risk level, and after the current test node is tested, determining the current test node according to the fault risk level. And performing test processing on the marked to-be-tested nodes based on the corrected switching time reference, thereby realizing intelligent selection of a transformer test sequence, improving test efficiency and ensuring electrical state stability and test precision of each test node.

The invention belongs to the field of garment processing, and particularly relates to a garment color fastness gradient detection method based on visual processing, which comprises the following steps: carrying out standardized color fastness test on a garment sample, and collecting corresponding picture samples and color fastness parameters according to a test time sequence; preprocessing the collected picture samples according to a test time sequence, wherein the preprocessing comprises denoising, enhancement and color correction of the picture samples; extracting color features and texture features of the preprocessed picture samples, performing gradient classification on various picture samples according to a test time sequence, and establishing a color feature data set, a texture feature data set and a color fastness parameter data set which are associated; through standardized testing and automatic image acquisition, hundreds of samples can be processed at a time, predicted values are directly output based on a trained model, physical testing steps are reduced, key areas such as necklines and cuffs are positioned through area segmentation, local area testing is rapidly carried out, and compared with global testing, the method has the advantages of being high in pertinence and accuracy, and missing detection can be avoided.

The invention relates to the technical field of data processing, and provides a test case generation method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining a Petri net model of a to-be-detected software system; based on a Petri network model, constructing an initialization environment for deep reinforcement learning; performing deep reinforcement learning training in the initialization environment to obtain a decision model for generating a test sequence; and generating a test sequence according to the decision model. By implementing the technical scheme disclosed by the invention, the generation efficiency of the test case can be improved.

The invention relates to the technical field of environment adaptability testing, and discloses an identification key performance comprehensive environment adaptability testing system. The system comprises a multi-environment factor acquisition and processing module for acquiring data and performing normalization preprocessing; the environment scene dynamic modeling module is used for constructing a multi-dimensional association graph and updating a topological structure; the performance index evaluation module evaluates a performance degradation index in a composite environment by means of a spatial-temporal feature fusion algorithm; the failure mode prediction module is used for generating a potential failure mode under multi-environment coupling according to the performance degradation trend and the stress accumulation effect; the environment tolerance analysis module is used for integrating data to establish a virtual model and outputting a tolerance residual error of a specific environment section; the test scheme optimization module is used for generating a self-adaptive test sequence according to the residual error and the map; and the environment scene simulation control module is used for regulating and controlling parameters of the test cabin in combination with multiple information. The system can comprehensively and accurately evaluate the performance and endurance capability of equipment in a composite environment, and has a dynamic adjustment characteristic.

The invention belongs to the technical field of hydraulic test and intelligent control, and particularly discloses a hydraulic component test system integrating data acquisition and automatic data analysis functions, which comprises a physical hardware test platform, a test control software platform and a digital twinborn model of a tested component, and realizes real-time interaction through an OPC UA protocol. Model parameters are corrected on line by means of measured data, and steady state, transient state and disturbance working condition tests are automatically executed based on a working condition library; and dynamically optimizing a test sequence in a test process, skipping a redundant working condition or encrypting a critical region, and synchronously generating a structured performance report. The accuracy and consistency of test results are improved, working condition simulation signals are automatically generated, performance data are collected in real time, a comprehensive performance report is generated, manual operation is reduced, the test process optimization unit can skip redundant working conditions and refine failure boundary positioning, and the test time and cost are effectively saved.

The invention discloses a PCB double-sided four-flying-probe test path optimization method, and belongs to the technical field of path optimization, and the method comprises the following steps: importing double-sided PCB data containing a test network and test points; obtaining an initial matching scheme of a network internal test point corresponding to each test network through the matching strategy, and optimizing each initial matching scheme to obtain a network internal test point path; constructing an initial test sequence between test networks through a recent insertion heuristic algorithm, and then introducing a local search algorithm into an adaptive large-scale neighborhood search algorithm to carry out iterative optimization on the initial test sequence to obtain a test sequence between the networks; and combining the test point paths in the networks and the test sequence between the networks, and outputting a double-sided four-flying-probe test path. According to the PCB double-sided four-flying-probe test path optimization method, the problem that the overall moving cost is difficult to further reduce in an existing method is solved.

The invention discloses a motor test bench system, which comprises a hardware system architecture and a software system architecture, wherein the hardware system architecture comprises a mechanical load and sensing unit, a centralized power supply and excitation unit, a data acquisition and control center and an upper computer system; the software system architecture comprises a unified data layer, an automatic control layer, a dynamic load regulation layer, a full-automatic test sequence layer, a man-machine interaction layer, a data analysis and report layer and a collaborative development interface; the problems that an existing test bench is single in signal collection, incomplete in information collection and poor in data synchronism; the load cannot be dynamically changed in real time; and high-order test data results are poor in visualization and cannot be directly converted into test reports.

The invention provides a machine tool machining shaft anomaly detection method and system based on double-order excitation, and relates to the technical field of numerical control machine tools. The method comprises the steps that a key machining shaft of a numerical control machine tool is determined; constructing a shaft transmission anomaly detection model; a double-order reverse test sequence is injected into the key machining shaft through the controller, and a double-order pulse response sequence corresponding to the double-order reverse test sequence is recorded through the encoder; a pulse arrival time sequence is analyzed, and reverse response delay, static lag section length and speed transient characteristics are calculated; and inputting into a shaft transmission anomaly detection model for analysis, and outputting a reverse gap detection value of the key processing shaft. The technical problem that in the prior art, due to the fact that tiny anomalies of the numerical control machine tool are difficult to accurately detect, the machining anomaly detection precision is insufficient is solved, and the machining anomaly detection accuracy of the numerical control machine tool is improved through the double-order reverse test sequence and the shaft transmission anomaly detection model.

The invention relates to the related technical field of equipment life cycle management, in particular to an aviation equipment full life cycle management method and system based on a digital thread. Determining main data of a first digital thread and a first-layer associated test sequence and main data of a second digital thread and a second-layer associated test sequence, mapping the deviation between a physical equipment state and a virtual simulation state, and identifying a performance difference point under a cross-stage data association link; and setting a management strategy for collaborative optimization. The technical problem that the reliability of aeronautical equipment is limited due to the fact that a cross-stage performance difference point equipment performance fluctuation root positioning fuzzy cannot be recognized in real time is solved, first and second digital thread main data and an associated test sequence are constructed, the deviation between physical equipment and a virtual simulation state is accurately mapped, and the reliability of the aeronautical equipment is improved. And a management strategy is set in combination with dual-thread data and performance difference points, and full-life-cycle collaborative optimization is performed, so that the technical effect of equipment reliability is effectively improved.

The invention relates to a storage test vector generation method and device, equipment and a storage medium, and is applied to the field of semiconductor testing, and the method comprises the steps: obtaining a chip manual and a chip test plan of a to-be-tested chip, and generating a chip description file according to the chip manual and the chip test plan; carrying out abstract processing according to the chip description file, and generating a chip abstract model; converting test logic in a test algorithm into a test sequence according to the chip abstract model; and obtaining a target file format requirement of a target ATE equipment platform, and converting the test sequence according to the target file format requirement to generate a storage test vector. The method has the technical effects that the reusability of cross-platform use of the test vector is improved, the test development efficiency is improved, and the time is saved.

The invention discloses a secret key integrity verification method and system, a medium and a program product, and belongs to the technical field of secret key verification. The method is used for an SoC security system and comprises the following steps: an initialization stage: electrifying a load board of test equipment, and then releasing external global reset of a chip; in the verification stage, a secret key SM3 verification value programming test sequence is operated, and secret key integrity verification is carried out by using an SM3 algorithm; in the testing stage, a secret key SM3 verification value test is carried out, whether the secret key SM3 verification value test is passed or not is judged, if the secret key SM3 verification value test is passed, it is judged that the chip is a good product, other chip tests continue to be carried out, and if the secret key SM3 verification value test is not passed, it is judged that the chip is a defective product. According to the invention, the secret key stored in the OTP / eFuse component is verified through the SM3 security algorithm, and the verification value is stored in the OTP / eFuse component, so that the algorithm verification of the integrity of the secret key is realized, and the security and the reliability are greatly improved.

The invention provides a function test method and device, electronic equipment and a storage medium, and is applied to the technical field of computers, the method comprises the steps that after a test instruction for indicating a to-be-tested function of a target module is obtained, a target test case corresponding to the to-be-tested function is further obtained, and the target test case can call at least one preset test sequence; the preset test sequences comprise at least one test condition required for testing the to-be-tested function, finally calling each preset test sequence through the test case, constructing a verification scene for testing the to-be-tested function based on each test condition, and completing the test of the to-be-tested function. In addition, the test conditions included in any preset test sequence have no association relationship with other test conditions except the preset test sequence, and the preset test sequences of the to-be-tested function are mutually independent and can be called according to the test requirements in the test process, so that the function test efficiency can be effectively improved.

Disclosed in the present invention are a fuel cell system operating condition detection method, an automatic test method, and a test system. The fuel cell system operating condition detection method comprises: firstly, on the basis of main operating conditions of a fuel cell system, selecting a current, a hydrogen inlet pressure, an air inlet pressure, a coolant inlet temperature and a coolant outlet temperature as determination references for operating condition detection; then, performing interpolation on the basis of the current value of the current, so as to acquire control target values of the remaining parameters; and finally, determining a system state on the basis of signal features of the current combined with whether the remaining parameters are within threshold ranges of the control target values, so as to complete operating condition identification. The method is applicable to a fuel cell test system, and has the advantages of facilitating calculation, requiring no training, allowing online operation, involving an automatic test sequence, etc. An automatic test procedure can also avoid the problem of the next group of new test conditions being automatically triggered due to latency-induced erroneous determination during operating condition detection, thereby improving the stability and reliability of the system.

The invention provides an uninterruptible power supply automatic switching device test method and system based on visual control, and the method comprises the steps: connecting a voltage collection end of test equipment to a secondary output terminal of a voltage transformer at a power supply side of an automatic switching device; and meanwhile, a secondary current signal of the current transformer is obtained and input to the test equipment, and a current output end is pre-connected to a protection side current input terminal. In the testing process, actual voltage and current are monitored in real time through a graphical user interface, and the testing equipment is controlled to synchronously output analog voltage and current. The method comprises the following steps: presetting an automatic test sequence and parameters, automatically applying test working conditions to the spare power automatic switching device by test equipment according to the parameters after starting, synchronously acquiring test data, and finally calculating performance indexes based on the test data and generating a test report. According to the method, the spare power automatic switching device can be comprehensively, accurately and safely tested under the condition that power supply is not interrupted.

A method for calibrating a surgical robot arm motor includes running a test sequence. The test sequence includes controlling a set of test motor currents to be applied to the motor, each causing the motor to drive a drive interface element to move; and for each test motor current, receiving a measured resistive force applied by a calibration rig; determining a relationship between the set of test motor currents and the resistive force measurements; determining calibration value(s) from: (i) the determined relationship, and (ii) a known relationship between the resistive force applied by the calibration rig and the driving force applied by the drive interface element; and controlling the calibration value(s) to be applied to subsequent motor currents applied to the motor so as to cause the motor to drive the drive interface element to apply desired driving forces to an instrument interface element of an attached surgical instrument.

The invention provides an automatic data processing method and device based on enzyme-linked immunosorbent assay, a medium and electronic equipment. The automatic data processing method comprises the following steps: obtaining type data, subordinate set number and test sequence of each to-be-tested sample in a plurality of sets of to-be-tested samples corresponding to a plurality of worktables of a source file; acquiring absorbance values in a plurality of worktables of the source file; filling a calculation template with the type data, the test sequence numbers and the absorbance values of the to-be-tested samples, and performing logarithmic linear regression analysis calculation to obtain calculation result data corresponding to each to-be-tested sample; and inputting the calculation result data into a summary template to generate a summary table, and identifying the calculation result data in the summary table according to the data state. By adopting the automatic data processing method provided by the invention, the test data can be efficiently, automatically and accurately processed, and meanwhile, the risk of errors in the data processing process by workers is avoided.

The invention provides an optimization method and device for an automobile collision simulation model, a medium and equipment, and the method comprises the steps: building an initial model of a simulation vehicle based on the vehicle parameters of the simulation vehicle; performing preliminary training on the initial model to obtain a preliminary training model; training the initial training model again to obtain a target model of the simulation vehicle; according to the method, an initial model of a simulation vehicle is constructed, the initial model is preliminarily trained by using historical collision simulation sequence data, rapid training is performed by using simulation data with a large data size, so that the whole vehicle model rapidly reaches a certain precision, and the preliminary training model is further trained by using experimental test sequence data, so that the accuracy of the whole vehicle model is improved. According to the method, the precision of the whole vehicle model is improved by adopting the test data with small data volume, and the training precision of the initial model is improved by selecting the historical collision simulation sequence data with large correlation with the experimental test sequence data, so that the efficiency and effect of model training and optimization are improved.

The invention belongs to the technical field of intelligent terminal mainboard testing, and discloses an intelligent terminal mainboard function verification system based on multi-protocol compatibility. Comprising a data acquisition module used for performing benchmark testing on each communication protocol supported by the intelligent terminal mainboard to obtain a benchmark data set of the intelligent terminal mainboard; the analysis and sequence generation module is used for acquiring a resource consumption portrait of the intelligent terminal mainboard; generating a concurrent test instruction sequence based on a pre-constructed test sequence generation engine; the concurrent test and diagnosis module is used for acquiring a concurrent test operation log by executing the concurrent test instruction sequence; identifying a causal relationship between a protocol performance degradation event and a resource state abnormal event based on the concurrent test operation log, and forming a resource protocol conflict event record; and the diagnosis and report generation module is used for acquiring diagnosis results of the resource protocol conflict events and further analyzing and generating a comprehensive verification report, so that a clear decision basis is provided.

Methods, apparatuses, and computer program products that provide for selection of assisting nodes for ambient internet of things (AIoT) devices. In the context of a method, the method includes providing for reception of an activation signal from a first node, where the activation signal comprises a test sequence, and where the test sequence is indicative of at least a first identifier associated with the first node; and providing for transmission of a backscattered signal to a second node based at least in part on the activation signal comprising the test sequence, where the backscattered signal is indicative of at least the first identifier and a second identifier associated with an AIoT device, and where the backscattered signal comprises backscattering of the activation signal.

Systems, methods, apparatuses, and computer program products for testing user equipment (UE) machine learning-assisted radio resource management (RRM) functionalities are provided. One method may include selecting a radio resource management (RRM) functionality to be tested for a user equipment (UE) having advertised machine learning (ML)-assistance capabilities, initializing a machine learning (ML)-assistance model in the user equipment based on the advertised machine learning (ML)-assistance capabilities, generating one or more input test signals and corresponding reference output test conditions depending on the machine learning (ML)-assistance radio resource management (RRM) functionality under test, and activating UE machine learning (ML)-assistance functionality and provisioning, to the user equipment, a test sequence with the generated input test signals and corresponding reference output conditions.

Methods, apparatuses, and computer program products that provide for selection of assisting nodes (22) for ambient internet of things (AloT) devices (29). In the context of a method, the method includes providing for reception (60) of a first signal from a network node, wherein the first signal is indicative of a first set of parameters associated with transmission of a test sequence to at least an AloT device; providing for transmission (62) of an activation signal to the AloT device in accordance with the first set of parameters, wherein the activation signal comprises the test sequence, and wherein the test sequence is indicative of at least an identifier associated with a first candidate node; and providing for reception (64) of a second signal from the network node based at least in part on a received power associated with the activation signal.

The invention discloses a method and system for predicting the service life of a steel base material based on creep-fatigue interaction, and relates to the technical field of data processing.The method comprises the steps that stress, strain and temperature data of an in-service steel base material are collected to construct a service parameter set, a creep, fatigue and composite loading test sequence is generated based on the parameter set, and the service life of the steel base material is predicted; and carrying out a creep-fatigue interaction test, extracting damage evolution data, carrying out multi-dimensional association on the damage evolution data and service parameters, establishing a creep-fatigue collaborative damage model, and realizing accurate prediction of the residual life of the steel base material through iterative calculation. The technical problems that in the prior art, the interaction effect of creep and fatigue under the complex service condition cannot be considered at the same time, so that the steel base metal service life prediction result is large in deviation, and reliability is insufficient are solved, and the aim of predicting the service life of the steel base metal by constructing the creep-fatigue collaborative damage model and combining real service parameters is achieved. And the service life prediction precision and reliability of the steel base metal under the complex working condition are improved.

Systems and methods are provided for detecting bit errors and further processing bit error information. A method, according to one implementation, includes the step of receiving a binary test sequence pattern generated by a pattern generator at an input to a digital communications system under test, wherein the binary test sequence pattern includes a plurality of sub-patterns. The method also includes the step of receiving an output binary sequence from an output of the digital communications system. Also, the method includes comparing the binary test sequence pattern with the output binary sequence to detect bit errors. Based on correlation characteristics between the bit errors and each of the sub-patterns, the method also includes the step of determining whether the bit errors are caused by random factors or are caused by deterministic factors associated with the digital communications system.

The invention provides an automatic testing method, device and platform for equipment load function performance, and relates to the technical field of software testing. According to the invention, through setting the plurality of subprogram packages in the process of testing the load function performance of the equipment, automatic programming is carried out according to the equipment type, the load type and the function type, the modularized combination generation of the test item, the test program and the subprogram is realized, the professional threshold is reduced, and the generation speed of the test program is improved. Furthermore, in combination with the task queue of the test accompanying instrument, path optimization is carried out on the test process, the test sequence of a plurality of test items is optimized, and the waiting time is shortened. Finally, based on the testing process and the testing program, automatic testing is achieved, the problem that the testing efficiency is low in the equipment load function performance testing process is solved, and the testing efficiency of the equipment load function performance testing is improved.

The invention discloses an automobile electrical function test method, apparatus and device, and a storage medium. The method comprises the steps of generating a test sequence of a target automobile type through a scene layer of a preset test model; packaging and combining operation instructions of preset functions into the test sequence according to a functional layer of the preset test model to obtain a configured target test sequence; and converting the target test sequence into a target detection instruction according to an instruction layer of the preset test model, issuing the target detection instruction to a vehicle end, so that the vehicle end executes the target detection instruction, receives message data fed back by the vehicle end, generates a test report according to the message data, and sends the test report to the vehicle end. A scene detection sequence can be self-defined according to a vehicle type, and automatic detection of an electrical function is realized; the scene test case can be quickly developed through the three-layer model and the flexible reference among the hierarchies; the stability of the vehicle quality is ensured, and the speed and efficiency of the vehicle electrical function test are improved.