318 results about "Test sequence" patented technology

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 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 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 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.

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 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.

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.

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 sensor multi-station test method and device and a medium, and relates to the technical field of automobile manufacturing testing, and the method comprises the steps: training a lightweight gradient boosting tree model through employing a historical test data set in combination with federal learning, obtaining a global optimization test model, and optimizing a test process through employing the global optimization test model, obtaining a parameter configuration adjustment amount and a test sequence priority, and collecting production resume data of the automobile sensor at the same time; the production resume data comprises production equipment data, process parameters, production process relationships and sensor batches; analyzing the production resume data by using a graph convolutional network to obtain production features, and fusing the parameter configuration adjustment amount, the test sequence priority and the production features to generate a self-adaptive test strategy; according to the method, the lightweight gradient boosting tree model is trained through preprocessing of the historical test data and federated learning, the global optimization test model is constructed, and the test efficiency and the resource utilization rate are improved.

The invention relates to the technical field of integrated circuits and provides a physical IP verification device and method, computer equipment and a medium. The physical IP verification device comprises a first reusable multimode test sequence generator, a verification component physical interface, a second reusable multimode test sequence generator and a verification component serial interface. Therefore, different simulation requirements and scenes such as accelerated simulation efficiency and integrated verification can be considered, protocol consistency verification, functional verification completeness of a physical layer subsystem level and standardized protocol verification are supported, and abundant test vector sets are provided; according to the method, the requirements of butt joint test scenes and completeness verification of different levels such as a transaction layer, a data link layer and a physical layer can be met, debugging interaction interfaces and debugging means with rich levels are supported, different physical interface versions and interface data bus bit widths are supported, and hierarchical and fine-granularity low-power-consumption management is also supported.

The invention discloses a test sequence optimization method and device, equipment and a storage medium. Comprising the steps of obtaining function point related data, and generating a function point test sequence based on an upper confidence bound algorithm; defining a global resource occupancy matrix, and according to the function point test sequence, sequentially importing the function points, traversing and querying the global resource occupancy matrix, and generating a parallel scheduling task; and executing the parallel scheduling task, and monitoring resource conflict conditions and test failure information in real time. By comprehensively considering related data of the function points, intelligent sorting of the function points is achieved, and the problems that in a traditional sorting method, exploration and utilization are difficult to balance and global dynamic optimization is lacked are solved. By reasonably distributing parallel tasks, resource conflicts are avoided, the utilization rate of limited test resources is improved, and efficiency reduction caused by unreasonable resource planning is reduced. Resource conflicts are found and processed in time through real-time monitoring, the conflicts are prevented from influencing the test process, test failures can be quickly responded, and the test efficiency is improved.

The invention provides a multi-algorithm collaborative multi-channel optical module parallel debugging method, system and equipment, and the method comprises the steps: applying an orthogonal test sequence to multiple channels of an optical module in parallel at a system identification stage, synchronously collecting responses, and calculating a channel matrix representing all channel characteristics and mutual crosstalk at one time; in the pre-coding optimization stage, a pre-coding matrix used for actively suppressing crosstalk is calculated based on the channel matrix; in the reinforcement learning optimization stage, each channel is regarded as an independent agent, and a multi-objective collaborative optimization algorithm of reinforcement learning is adopted to search for a globally optimal solution for operation parameters; finally, the optimized operation parameters are written into an optical module register, performance verification is executed, and a debugging report is generated. Through closed-loop cooperation of three algorithms of system identification, precoding optimization and reinforcement learning optimization, efficient and adaptive parallel debugging of the multi-channel optical module is realized, the debugging efficiency and the overall performance of the system are improved, and the dependence on artificial experience is reduced.

The embodiment of the invention discloses a UVM-based UFCS protocol verification IP system and method, and the system comprises a UVM protocol driving unit which is used for generating UFCS protocol verification excitation and comprises a Baud rate training controller and a protocol wrapper; the UVM protocol analysis unit is used for verifying the UFCS protocol message received from the equipment to be tested and comprises a version self-adaptive decoder and a verification engine; the UVM intelligent monitoring unit is used for monitoring a protocol interaction process and performing compliance analysis, and comprises a violation detector and a coverage rate statistical model; and the UVM reusable test library is used for providing a standardized test sequence and an industrial standard test scene for the to-be-tested equipment and adjusting the test grade and the test content in response to a test adjustment instruction received by the configuration interface. According to the embodiment of the invention, the technical problems of insufficient compatibility verification, limited abnormal scene coverage, low verification efficiency and the like in UFCS protocol verification can be solved, full-stack verification from a physical layer to a protocol layer is realized, and the efficiency and reliability of UFCS protocol verification are improved.

The invention discloses a CAN network fault-tolerant automatic test system and method for an electric steering system, and relates to the technical field of CAN network testing, and the system comprises an upper computer module and a test tool. The test tool comprises an MCU and a switch array. The switch array comprises a plurality of controlled chip switches and relay switches. The test tool receives a test sequence message of the upper computer through the CAN bus and controls the switch array to act so as to inject a fault into the EPS or recover communication; and the upper computer module also receives a reply message of the EPS and generates a fault-tolerant test result. A CAN fault-tolerant test tool is formed by a switch array composed of a plurality of controlled chip switches and relay switches, a test sequence message of an upper computer test script is received to carry out various fault tests, whether a test result is qualified or not is analyzed according to a feedback EPS message, multiple fault-tolerant ability tests including Busoff fast and slow recovery time can be automatically carried out, and the fault-tolerant ability test efficiency is improved. And the development and test cost is reduced.

The invention discloses a visualized regional spare power automatic switching debugging device, system and method, and relates to the technical field of electrical equipment. The device comprises a man-machine interaction unit used for sending a test instruction; the main control and logic management unit is used for receiving the test instruction, analyzing the test instruction into a test sequence, sending simulated power grid fault information to the tested spare power automatic switching equipment and collecting the equipment action condition of the tested spare power automatic switching equipment; the analog signal generation unit is used for receiving the test sequence and generating a control signal required by the work of the tested spare power automatic switching equipment based on the test sequence; and the multi-stage isolation and accurate power supply unit is used for providing current and / or voltage signals required by the work of the tested spare power automatic switching equipment for the tested spare power automatic switching equipment under the control of the control signal. According to the invention, high-performance calculation, professional industrial control and reliable communication are integrated, and automation and visualization of regional spare power automatic switching debugging are also realized.

Methods and systems for producing a filtered read sequence information data set by identifying one or more split sequence reads in a set of test sequence reads obtained from cell-free nucleic acid (cfNA) in a biological sample obtained from a subject, wherein each split sequence read comprises at least one breakpoint; and, suppressing, in the set of test sequence reads, (i) at least a portion of one or more of the split sequence reads and / or at least a portion of one or more of the test sequence reads that comprise at least one sequence variant within a selected number of nucleotides from a given breakpoint, thereby producing the filtered sequence information data set, or, (ii) one or more base calls of the split sequence reads and / or one or more base calls of the test sequence reads that comprise at least one sequence variant within a selected number of nucleotides from a given breakpoint, thereby producing the filtered sequence information data set.

The invention discloses a relay protection device closed-loop logic verification system based on data direct collection, and particularly relates to the technical field of relay protection device verification. Action logic messages and multi-mode physical quantity data of a relay protection device are synchronously collected through hardware synchronization pulses; carrying out feature extraction on the multi-modal physical quantity data by adopting a transfer learning strategy, matching the multi-modal physical quantity data with a hidden fault feature library, and identifying an abnormal feature vector; performing space-time alignment on the abnormal feature vector and the action logic message, quantitatively evaluating a risk entropy value and judging a risk level; dynamically generating a test sequence priority based on a relay protection device function unit association topological graph, and optimizing test excitation parameters in real time through a digital twinborn model; fusing a physical failure mechanism and a data driving trend to predict the remaining service life of the key element; early warning and predictive intelligent maintenance of the hidden fault of the relay protection device are realized, and the problems that the internal state of the relay protection device cannot be deeply perceived and the self-adaptive optimization capability is lacked in the existing verification technology are solved.

The invention discloses an off-line high-voltage SVG load testing method and system, and relates to the field of SVG testing, and the method comprises the steps: controlling a high-voltage static var generator to execute pre-charging operation based on the amplitude of the output voltage of a high-voltage direct-hanging energy storage converter, and starting the self-inspection work of the high-voltage static var generator after the pre-charging is completed; setting operation modes of the accompanying test high-voltage direct-hanging energy storage converter and the high-voltage static var generator, and based on the operation modes, sending power parameters by using the test controller to execute load test processing of the high-voltage static var generator; and creating and starting a test sequence by using the test controller, outputting the characteristic quantity of the high-voltage static var generator according to the operation process of the test sequence, executing off-line power grid fault adaptability performance test processing, and outputting a performance test result of the high-voltage static var generator. According to the high-voltage SVG on-load test and function test provided by the invention, a high-voltage power grid is not needed, the detection is convenient, and the influence of the test on the high-voltage power grid is also avoided.

The invention relates to the technical field of pedestrian protection head type CAE simulation and calibration of automobile active engine hoods, in particular to an active engine hood pedestrian protection head type simulation analysis method and device, a vehicle and equipment, and the method comprises the steps: firstly obtaining a plurality of pedestrian protection head type point locations on an active engine hood, and dividing the pedestrian protection head type point locations into at least one point location group; on the same active engine hood, head type impact tests are carried out on the point locations in each group in sequence, test damage is reserved, and test data of each point location are recorded; and finally, according to the grouped test data and the test sequence of each point location, aiming at the head type simulation model, completing model calibration on parts corresponding to each pedestrian protection head type point location in the calibration model. Therefore, the problems of low pedestrian protection head shape calibration efficiency, insufficient precision and the like in related technologies are solved.

The invention relates to the technical field of electric power automation, and discloses a method, a system, equipment and a medium for constructing an electric power cloud edge collaborative interface capable of being debugged autonomously, and the method comprises the steps: based on a multi-level rule engine and context mode matching technology, extracting interface parameters and interface data entities, and constructing an interface model knowledge graph; based on a hierarchical structured mapping analysis method, establishing a mapping relationship between the interface data entity and the data source system entity, and storing the mapping relationship in the knowledge graph; generating a universal interface program according to the mapping relation, and dynamically scheduling an interface test sequence; executing interface debugging according to a scheduling sequence, obtaining historical data from a data source system to generate a test case, and sending the test case to a consumption end system for verification; if an error is reported, traceability is wrong, and a test report is generated. And through an automatic means, the two debugging parties do not need to wait for the other party to carry out interface joint debugging, so that the communication and coordination processes are greatly reduced, and the working efficiency is integrally improved.

The invention provides a variable working condition electromagnetic noise characteristic analysis method for a vehicle high-speed permanent magnet synchronous driving motor, which is used for designing a simulation analysis and experiment test sequence based on a multi-accelerator load working condition, and carrying out simulation and entity system test in a full rotating speed range aiming at a harsh noise order generated in the operation of the high-speed motor. The noise sound pressure level under the corresponding load working condition and the change rule of the noise sound pressure level along with the load working condition and the rotating speed can be effectively extracted according to results obtained through simulation and testing. An analysis result obtained on the basis of the method can be used for NVH performance optimization design of the electric driving system of the electric vehicle, and therefore the requirements of the vehicle in actual operation can be better met.

This application relates to the field of power distribution system technology, and in particular to a testing method and system for substation measurement and control devices based on neural networks. The method includes: constructing a full-link signal topology map of the substation; extracting the correlation features of each signal node from various types of configuration files; inputting the full-link signal topology map and correlation features into a pre-trained graph neural network, which matches signal node pairs to obtain matching point pairs, and generating a test sequence consisting of simulated excitation signals and expected response information based on the matching point pairs; triggering the corresponding simulated excitation signal according to the test sequence, acquiring feedback signals in real time, comparing the feedback signals with the expected response information, and determining the test results. This application effectively reduces the manual burden of testing substation measurement and control devices and improves test accuracy.