631 results about "System testing" patented technology

The invention relates to the technical field of autonomous navigation and intelligent control of an ocean unmanned system, in particular to a dynamic obstacle avoidance system in unmanned ship path planning, which comprises a multi-source sensing module, a global path planning module, a remote obstacle avoidance decision module, a short-range dynamic obstacle avoidance module and a multi-stage cooperative control unit, and is also provided with a semi-physical verification module. The multi-source sensing module fuses multi-source data to construct a layered map; the global path planning module generates and optimizes a path by adopting an improved algorithm; the long-range and short-range obstacle avoidance modules cope with far and near obstacles based on different algorithms; the multi-stage cooperative control unit coordinates the output of each module; the functions of all the modules are achieved through specific algorithms and formulas, and the semi-physical verification module simulates a real environment to conduct system testing. According to the invention, the environment can be sensed in all directions, intelligent path planning and multi-stage obstacle avoidance decision are realized, an optimal instruction is output through cooperative control, the reliability is improved by combining virtual verification, and safe and efficient navigation of the unmanned ship in a complex water area is effectively ensured.

The invention discloses an unmanned aerial vehicle system testing method and system based on a model, and relates to the technical field of unmanned aerial vehicle system testing, and the method comprises the steps: collecting the operation data of an unmanned aerial vehicle, preprocessing the data, and carrying out the labeling classification of the preprocessed data; inputting the labeled data into a generative adversarial network model, training a generator, and generating a simulated flight scene data set; carrying out transfer learning model pre-training based on the simulated flight scene data set; deploying the unmanned aerial vehicle in an actual test, collecting incremental data from a real environment, and performing fine tuning on the pre-trained transfer learning model; a flight mission plan is generated, and simulation evaluation is completed in combination with the simulated flight scene data set. By generating the high-quality flight data and continuously updating the model, the test and task planning capability of the unmanned aerial vehicle system in a complex environment is effectively improved, the test cost is reduced, and the coping capability of the model in different flight scenes and the stability of the model in actual operation are enhanced.

The invention relates to the technical field of power system testing, in particular to a transformer simulation test current optimization method based on dynamic impedance matching, which comprises the following steps: performing low-power scanning on a tested transformer to establish a nonlinear model capable of predicting harmonic waves; actively synthesizing the virtual impedance of the target power grid; and a feed-forward compensation current is generated by using a harmonic prediction model and is injected into the transformer after being superposed with a fundamental wave instruction. According to the method, accurate identification modeling is carried out on nonlinear characteristics of a tested unit, active synthesis of virtual impedance of a target power grid is combined, and harmonic compensation current is generated in real time by utilizing a feedforward control thought so as to optimize finally injected test current. According to the method, the problems of inaccurate power grid simulation and insufficient nonlinear response coupling of the transformer in a traditional test are solved, high-fidelity current injection is realized, real electrical behaviors of the transformer under various complex power grid working conditions can be accurately simulated, and the flexibility, accuracy and safety of the test are remarkably improved.

Embodiments of the current disclosure provide for a mobile system interface device that translates between agnostic mobile system data and adapted mobile system data. Embodiments of the current disclosure also provide for remote active diagnostics of a mobile system using the mobile system interface device. Embodiments of the current disclosure also provide for testing of mobile systems using the mobile system interface device.

The invention relates to the technical field of electric power system control, and discloses an emergency control coordination method for power angle stability of an electric power system and related equipment, and by obtaining time domain simulation data of a system test fault and constructing a power angle stability margin, early warning can be performed before the power angle of the system is unstable. The early warning mechanism is helpful for taking measures in advance and preventing the system from entering an unstable state. And when the power angle of the system is indeed unstable, the effects of different control measures can be quickly predicted through the constructed power angle stable sample set and the trained convolutional neural network model, so that quick response is realized, and measures are taken. By constructing the emergency control optimization model considering the control sensitivity, the effects and the sensitivity of various control measures can be comprehensively considered, so that the optimal emergency control strategy is determined, and the control on the system stability is effectively improved according to the optimal emergency control strategy.

The invention relates to the technical field of digital simulation, and discloses a hardware-in-the-loop simulation test method for a control and protection system of an energy storage power station. The method comprises the following steps: acquiring operation data of an energy storage power station, and establishing an SOC-power coupling constraint mechanism by adopting a state space decomposition algorithm; establishing a current-voltage-SOC three-dimensional protection criterion based on the battery state parameters; calculating power balance distribution of the multiple energy storage power stations by adopting a distributed coordination control algorithm; configuring a hardware interface signal synchronization protocol to establish a test platform; and loading a multi-scene fault working condition to execute automatic verification and outputting a performance evaluation result. The technical problem that the energy storage power station control and protection system lacks a high-precision, multi-scene and hardware-in-the-loop integrated simulation test verification method is solved, and the precision, efficiency and safety of test verification of the energy storage power station control and protection system are improved.

The invention provides a system performance testing method and system based on user behavior simulation, and relates to the technical field of system testing, and the method comprises the steps: obtaining service nodes of a tested system and service logic describing jump paths between the service nodes; generating a user behavior sequence for describing a sequence of accessing each service node by a user by combining a random walk algorithm with heuristic weight and random disturbance on the basis of service logic; generating a dynamic flow peak curve conforming to the natural behavior of the user by taking the maximum bearing flow of the tested system as a constraint; scheduling a user behavior sequence according to the dynamic flow peak curve to carry out pressure tests of multiple test types on the tested system; collecting performance data in the test process; abrupt data in the performance data are extracted through a sliding window; and outputting the performance data and the corresponding mutation data as a performance test result of the tested system. Accurate and efficient system testing can be carried out through data conforming to actual behaviors of a user under the condition that historical data does not exist.

An autonomous driving system test method, comprising: sampling scenario data of a plurality of scenarios (S10), and sending the scenario data of the plurality of scenarios to a plurality of simulation emulators (200) for distributed testing, so as to obtain test result data of the plurality of scenarios, the plurality of simulation emulators (200) being each integrated with an autonomous driving domain controller; and determining a dangerous scenario boundary for an autonomous driving system on the basis of the test result data of the plurality of scenarios (S20). The method is an improvement on the a scenario-based simulation test technology for autonomous driving systems, and using a server and a plurality of simulation emulators integrated with autonomous driving system domain controllers to perform joint testing can greatly improve the simulation test efficiency and the test effect for autonomous driving systems.

The invention provides a distributed data storage and access software development method based on cloud computing, and aims to construct an efficient, safe and extensible data storage system. The method comprises seven key steps of demand analysis and system design, cloud resource configuration and initialization, distributed data storage algorithm development, data processing layer construction, access control layer development, user interface and interaction design and system test and optimization. By accurately calculating storage resource requirements, optimizing cloud resource configuration and designing a consistent Hash data fragmentation algorithm and a data redundancy strategy, high availability and fault tolerance of data are ensured. Meanwhile, the AES-256 encryption technology and the LZ4 compression technology are adopted to guarantee the data security and the transmission efficiency. According to the method disclosed by the invention, a high-performance, extensible, safe and reliable distributed data storage and access system can be constructed, so that the increasing data storage and access requirements are met, and the user experience is improved.

The invention relates to the technical field of embedded system testing, in particular to a method for testing functionality and stability of a core board service component, which comprises the following steps of: initializing a core board testing environment, ensuring that software and hardware parameters are consistent in a testing process, and aiming at the service component on a core board, testing the service component on the core board; the method comprises the following steps of: analyzing and generating a dependency relationship graph among components by utilizing a dependency graph model, optimizing a key dependency relationship through a deep learning model, performing functional testing on the components according to a priority based on the optimized dependency relationship graph, and testing the stability of a core board during high-concurrency and multi-task operation through multi-thread scheduling and concurrent task simulation. Abnormal, resource competition and deadlock problems are detected; and finally, in combination with an actual application scene, carrying out component hot plug, network abnormity, power-off recovery and other scene tests, and analyzing test data to generate a comprehensive test report. According to the method, the test coverage rate and efficiency are improved, and stable operation of the system under complex conditions is ensured.

The invention discloses a test case generation system based on multi-protocol fusion, and the system comprises a demand analysis module which is used for collecting specification and function description in a demand document, and the specification and function description comprises components, services and interaction relationships among the components and the services; the protocol identification module is used for identifying and extracting protocol information in the system; the test case generation module is used for generating test cases for different protocols according to the information provided by the demand analysis module and the protocol types determined by the protocol identification module; the interactive simulation module is used for simulating interaction between different protocols; the coverage rate evaluation module is used for evaluating the coverage rate of the generated test case to the system; and the automatic execution module is used for automatically executing the generated test cases and collecting test results for analysis and reporting. The method has the advantages of integration, automation, flexibility, accuracy, reliability, high efficiency and the like, the quality and efficiency of system testing can be effectively improved, and the testing cost is reduced.

The invention belongs to the field of automatic testing, and particularly relates to an automatic testing system and method for aviation fly-by-wire flight control equipment, and the system comprises a system self-inspection unit, a system resource unit, a system interface adaption unit, and a system testing control unit. And the system self-checking unit controls the automatic test system to execute a self-checking function through operation software. The test efficiency and the test coverage rate can be remarkably improved, the problem of function test omission can be effectively solved, the fault of the tested airborne avionics equipment is analyzed by adding the YMECA fault analysis module and combining the definition event and the structure function of the fault tree, qualitative analysis is carried out on the fault, a professional basis is provided for fault diagnosis, the maintenance difficulty is reduced, and the test efficiency is improved. The aircraft maintenance guarantee efficiency is improved, and joint test of a plurality of airborne avionics devices and parallel test of a plurality of airborne avionics devices of the same model in a fly-by-wire flight control system of a certain type of fighter can be realized.

The invention discloses an unmanned driving extreme case generation and verification method based on a simulation engine. The method comprises the following steps: S1, constructing a high-fidelity virtual simulation environment; s2, initializing a parameterized model generated by an extreme driving case; s3, generating an initial extreme driving case population based on a genetic algorithm; s4, collecting test result data of the unmanned driving system; s5, quantifying the test effect of each extreme driving case; s6, based on a fitness evaluation result, performing selection, crossover and mutation operation through a genetic algorithm; and S7, the extreme driving case population generated by evolution is subjected to unmanned driving system testing again in the simulation environment, S4 to S6 are executed repeatedly until a preset termination condition is reached, and the termination condition comprises that the scene diversity reaches a target value or the fitness is converged. According to the invention, the generation efficiency and coverage range of the extreme driving scene are improved.

The invention relates to the technical field of energy storage system testing, and discloses an AI camera and AI analysis-based energy storage system testing method and system, and the method comprises the steps: injecting a group of mutually orthogonal exploration excitation signals into an energy storage system, and collecting the global space-time response data of the system; comparing the global space-time response data with a preset health baseline model to identify a suspicious area with abnormal response; for the suspicious region, adaptively generating a resonance excitation signal capable of amplifying the fault characteristics to the maximum extent through an optimization algorithm, and injecting the resonance excitation signal; and collecting amplification response data of the suspicious region, and inputting the amplification response data into the deep learning model to diagnose a specific fault type. The system comprises a distributed excitation network, a global space-time sensing array and an AI analysis processing module. Targeted amplification is carried out on latent fault features by actively generating resonance excitation, the problem that early weak faults are difficult to find in a traditional method is solved, and the fault detection accuracy is improved.

Testing methods and systems provide a Diagnostic Testing Service as well as an attack simulation service, for a perimeter security system, in a non-disruptive manner, so that the production targets can be tested while normally functioning, and do not have to be brought down for testing. The testing methods can be implemented, such that they are vendor and device type neutral, considering the overall strategy utilized to prevent perimeter security system attacks.

The invention discloses a complex software system test method based on fault propagation path coverage, which realizes accurate simulation and capture of a dynamic propagation process of a defect between modules by introducing a fault propagation path model and combining static slicing and dynamic slicing technologies, comprehensively covers propagation paths possibly existing in a complex software system, and improves the test efficiency of the complex software system. And the limitation of the traditional method in the aspect of dynamic defect detection is overcome. Meanwhile, through a seed defect injection strategy, potential defects can be excited at key propagation nodes, associated defects between modules are further mined, and the detection problem caused by module interactivity is solved. In addition, according to the method, test case expansion and fault propagation path analysis are achieved through an automatic process, manual intervention is remarkably reduced, the time cost and resource consumption in the test process are reduced, the test coverage rate and defect detection capacity of a complex software system are comprehensively improved, and an important guarantee is provided for reliability and safety of the system.

The invention discloses a vehicle-mounted diagnosis system based on CAN communication and an adjustable power supply and a method thereof, and relates to the technical field of vehicle electronic diagnosis. Comprising the following steps: a CAN communication acquisition module is used for acquiring a multi-channel CAN message containing a timestamp; the data processing module is used for identifying a signal field in the message and generating a structured signal value; the signal semantic recognition module is used for matching the structured signal with the reference state data and determining a semantic tag of the structured signal; the anomaly detection module identifies structural anomaly, time anomaly and behavior anomaly based on rule judgment and time sequence prediction; the control instruction generation module is used for generating a power supply control instruction according to the abnormal level; and the adjustable power supply equipment module adjusts output voltage and current parameters according to the control instruction and feeds back a power supply state. According to the method, a closed-loop diagnosis process from CAN data acquisition, signal behavior modeling to power supply response control is constructed, and the method is suitable for application scenes such as function verification, anomaly recognition and system testing of the vehicle-mounted electronic control unit.

The invention discloses a system testing method for UFS equipment, a testing host, equipment and a medium, and relates to the technical field of UFS testing. The method comprises the following steps: generating a plurality of different types of operation commands; determining a first queue depth according to a preset command sending mode, asynchronously sending an operation command of the first queue depth to the UFS equipment so as to enable the UFS equipment to process the operation command according to a queue sequence, and returning a response when each operation command is completed; receiving a response returned by the UFS equipment; determining a second queue depth according to a preset command sending mode and the number of statistical responses; and the operation command of the second queue depth is sent to the UFS equipment, the UFS equipment continues to process the operation commands according to the queue sequence until all the operation commands are sent and executed, and system testing of the UFS equipment is completed. The test period of system testing on the UFS equipment can be shortened, and the test efficiency is improved.

The invention relates to a distributed storage system testing method and device, computer equipment and a storage medium. The method comprises the following steps: creating a test scene library according to a business model of the distributed storage system; determining a target test scene from the test scene library based on the current weight of each test scene, and generating a target test parameter according to a preset parameter range of the target test scene; generating a test case according to the target test parameter, and executing the test case on the distributed storage system to obtain a test result; and in response to the condition that the test result does not meet a preset condition, updating a current parameter value and a current weight value of the target test scene in the test scene library according to the target test parameter, and performing an iterative test on the updated test scene library until a termination condition is met. By adopting the method, more possible business scenes and abnormal conditions can be covered, and more test opportunities can be obtained in test scenes in which potential problem points possibly exist.

The invention provides an information matching method, a recruitment system testing method, a recruitment system testing system, a terminal and a medium. The method comprises the following steps: respectively encoding an extracted job seeker feature vector and an extracted recruiter feature vector into a job seeker behavior code and a recruiter behavior code; based on a preset gradient descent algorithm, importance weights of the job seeker behavior codes and the recruiter behavior codes in final matching are determined in an adaptive learning mode; and fusing the weighted job seeker behavior code and the weighted recruiter behavior code, and calculating a matching degree between the comprehensive matching code of the job seeker obtained by fusion and the feature code of the potential matching object so as to determine an optimal matching result between the recruiter and the job seeker based on the matching degree. According to the invention, through a dynamic adaptive learning weight distribution mechanism and a behavior coding fusion strategy, independent preferences of the job seeker and the recruiter can be fully considered and satisfied, and the accuracy of the matching process can be ensured.

The invention discloses a chip verification method, a computer program product, equipment and a medium, and relates to the technical field of computers, the chip verification method is applied to a chip verification device, the device comprises a division module, a management module, a communication module and a test module, and the method comprises the following steps: dividing test cases into different test categories through the division module, and sending the test cases to the management module; determining a target test case through the management module; sending the target test case to a subsystem test unit in a test module through a communication module; different subsystem test units have different subsystem characteristics, and the subsystem characteristics comprise service correlation between the subsystem test units and chip core services and software and hardware coupling degrees of the subsystem test units; and executing the target test case through the subsystem test unit to verify internal logic of software and hardware interaction in the subsystem test unit. According to the method, the design problem of a hardware interaction bottom layer can be found, hidden dangers are eliminated before tape-out, and the risk of tape-out failure is remarkably reduced.

A measurement and control simulation device based on a measurement and control data transmission integrated system comprises an upper computer display control test module, a PC host module, a signal processing master controller module, an isolation DC / DC module, a down-conversion module, a filtering module, an isolator module and an outer end face interface module. The system has the characteristics of multiple modulation systems, a spread spectrum function, controllable output power, Doppler frequency change and the like, can be used for simulating a star chain control system link test in a ground test system, and fully improves the index assessment performance during system docking; meanwhile, the design of a down-conversion link meets the requirements for the strength and sensitivity of the received signal, the stability and accuracy of the radio-frequency signal after frequency conversion in a low-power injection state are remarkably improved, and a new scheme is provided for a high-frequency conversion mode. Besides, the display control module of the equipment has the functions of multiplexing, reconstruction, multi-data interaction and the like, so that multifunctional and multi-task full-system test coverage can be realized, the cost investment of test systems such as spacecrafts and the like is greatly reduced, and the multifunctional index test coverage efficiency is improved.

The present invention discloses a smart grid fault warning and diagnosis system, which relates to the field of smart grid technology, including a multimodal data acquisition and fusion module, a deep reinforcement learning warning module, a fault diagnosis module based on a graph neural network, an adaptive diagnosis module integrating multi-task learning, an edge computing and cloud collaboration module, and a system testing and verification module. The system comprises the following steps: collecting multi-source data through power sensors, smart meters and weather stations, and using a deep autoencoder model to reduce the data dimension and fuse features; importing the collected data into the deep reinforcement learning warning module, and dynamically adjusting the warning strategy through interaction with the grid operation environment; analyzing the topological structure of the grid and identifying the fault location by using the fault diagnosis module based on the graph neural network; learning the model and processing the fault type; combining edge computing with the cloud for collaborative work; and testing, verifying and optimizing the model by the system testing and verification module.

The invention relates to the technical field of audio testing, and particularly discloses a vehicle-mounted audio system testing method and system, and the method comprises the following steps: S1, constructing a simulation testing platform comprising a driving environment variable database; s2, establishing a hardware basis for signal acquisition and feedback; s3, generating a test environment instruction; s4, in response to the test environment instruction generated in the step S3, executing a multi-channel signal coupling test, and acquiring signal coupling data at the same time; s5, diagnosing an audio path delay fault point and a hardware distortion module; and S6, generating a three-dimensional sound field balance degree thermodynamic diagram and a fault positioning report, and outputting the thermodynamic diagram and the fault positioning report to a display terminal. According to the vehicle-mounted audio system testing method and system provided by the invention, the testing efficiency can be remarkably improved, the loudspeaker fault module is accurately positioned, the expansion box is compatible with most vehicle type interfaces, the impedance is automatically matched, and a sound field balance defect area is more intuitively displayed by adopting a three-dimensional thermodynamic diagram.

The invention relates to the technical field of power system testing, in particular to a relay protection device testing system and method. The system comprises a tested device, a tester, a device test case module, a test module, a test instrument interface module, a simulation master station module and a comprehensive diagnosis module. The output end of the device test case module is connected with the input end of the test module; the test module is respectively connected with the test instrument interface module, the simulation master station module and the comprehensive diagnosis module; the test instrument interface module is connected with the tested device through the tester, and the tested device is also connected with the test module through the simulation master station module. According to the invention, comprehensive and intelligent testing of the relay protection device is realized; the device can simulate various fault scenes, accurately detect the action response of the device, provide detailed performance evaluation and diagnosis reports through multi-path data feedback and comprehensive diagnosis, and effectively improve the test efficiency and reliability.

The embodiment of the invention relates to the technical field of text processing, in particular to a system testing method, device and equipment. According to the embodiment of the invention, the method comprises the steps: capturing the transaction flow and response message of an old system in real time, obtaining the related configuration from the transaction information, screening out the proper transaction flow, executing the recording operation, and carrying out the partition storage according to the real-time transaction information; after a playback instruction is received, a corresponding message set is selected according to the playback instruction, the playback rate is adjusted, the corresponding message is played back to the new system, a response message generated by the new system is obtained, the response message is compared with an old system response message, and a test result of the new system is generated. Through the mode, the background pressure requirements of performance and chaos testing can be met by automatically adjusting the message playback rate, different business transaction functions can be verified by playing back different messages at the same time, and therefore testing of new system functions is completed.

Various embodiments provide for a unified interface for testing a system, which can include a device under test (DUT). In particular, some embodiments described herein can be used to implement a Unified Test Framework (UTF) that comprises an architecture that provides a unified (or common) software interface to one or more test methods used during a development life cycle of a system. Example test methods can include, without limitation, modeling, verification, simulation, emulation, validation, customer support, and the like.

The invention belongs to the technical field of ultra-high voltage direct current power transmission, and discloses a test system and method of a converter valve thyristor voltage detection board card, and the test system comprises a test cabinet and a test tool. An industrial control system is integrated in the test cabinet to set test parameters and criteria, an electric control unit loads an excitation source, an acquisition display unit acquires test data and presents the test data in an oscillogram, and a test tool fixes a tested board card. The industrial control system outputs a control instruction to drive the electric control unit to apply system test excitation, the actual working condition of the thyristor is simulated, and meanwhile, the acquisition and display unit automatically captures multichannel signal data; data are transmitted to the industrial control system through the electric control unit, and the board card performance is automatically analyzed and a test report is generated in combination with a preset criterion. By adopting the system, the problems of insufficient function verification, low test efficiency, vulnerable equipment, poor data accuracy and large manpower occupation are solved, efficient and lossless automatic test is realized, the test reliability is improved, and the operation process is simplified.

The invention belongs to the field of embedded system test technology and industrial automation, and discloses an automatic PCBA comprehensive test method and system, and the method comprises the steps: carrying out the power-on processing of a to-be-tested PCBA board card; detecting a PCBA board card to be tested which runs a board card program under the same local area network, establishing connection, detecting peripheral information to be tested, and reporting a detection result to the upper computer; generating a board card serial number by using an SM3 Hash algorithm and combining with a stream encryption algorithm; the PCBA board card to be tested is tested, and the test process and the test result are visually displayed through the upper computer; and binding a test result with a fault code and a board card serial number generated in the test process, and storing the test result as a test log. According to the invention, the problems of high specificity and low reuse rate of traditional test equipment can be solved, rapid adaptation of PCBA of multiple models is realized, and the problem of repeated development of multi-peripheral test is eliminated.

Method and apparatus for system testing. A code base is accessed. A first section of the code base that is explicitly covered by a first test case is identified. A second section of the code base is modified, where the second section is not explicitly covered by the first test case. The first test case is executed on the code base with the modification of the second section of the code base. Based on determining that the execution of the first test case fails, the second section of the code base is determined to be implicitly covered by the first test case.