905 results about "Test report" patented technology

The invention discloses an integrated verification and test system and method for complex rules of a substation monitoring system, and the system comprises a rule editing module which provides a visual interface to support a user to edit the complex rules containing various types of variables and time sequence constraints; the analysis and verification module is used for performing grammar, variable conflict and business compliance multi-level verification on the rules; the intelligent test case generation module is used for automatically generating test cases covering normal, boundary and abnormal conditions based on the rule tree structure; the simulation test interface module converts the use case into a standard test script, submits the standard test script to a simulation tool for execution, and outputs the standard test script to a monitoring system through protocol conversion; the result analysis module is used for comparing an execution result with an expected result and generating a structured test report; according to the invention, full-process automation of rule verification and testing is realized, the verification efficiency is remarkably improved, and the test requirements of various transformer substation business scenes are met.

The invention discloses a graphical user interface test case generation method based on a multi-agent framework, and relates to the field of graphical user interface tests.The graphical user interface test case generation method based on the multi-agent framework comprises the following steps that S1, a user demand document is obtained, and file text content and file format information are analyzed and extracted; s2, performing paragraph segmentation on the file text content to form logic semantic units; s3, carrying out correlation analysis on the segmented paragraphs, and obtaining a ternary file group; s4, performing paragraph annotation addition on the ternary file group, and constructing a semantic annotation result set; s5, extracting the agent framework to generate a graphical user interface test case, performing test recording, and storing a test result; s6, the result is verified, and a test case list and a software test report are generated. By conducting multi-dimensional analysis on the text content and the format structure in the document, the reduction efficiency from natural language description to structural semantic construction is improved.

The invention relates to artificial intelligence generation content AIGC, in particular to an AIGC test case self-adaptive generation system based on risk feedback, which comprises a semantic variation generation module for selecting a variation operator from a variation operator library according to a self-adaptive strategy, performing variation processing on a seed case provided by a basic test case library by using the variation operator, and generating a semantic variation result; generating a new test case; the AIGC model takes the test case as model input and performs model output to the risk assessment and quantification module through an AIGC model interface; the risk assessment and quantification module is used for performing multi-dimensional risk assessment on a model output result by utilizing the risk detection model library, calculating a risk level and generating a test report; the risk feedback processing module is used for storing the high-risk test case, performing feature extraction and converting a risk assessment result into an operable risk feedback signal according to extracted features; according to the technical scheme provided by the invention, the defects of low efficiency and difficulty in automatically adapting to environment change can be overcome.

The embodiment of the invention relates to the technical field of electrolytic copper foil testing, and particularly discloses a continuous testing method and system for warping of an electrolytic copper foil. The method comprises the following steps: periodically cutting an electrolytic copper foil sample; adjusting a test environment, and carrying out leveling positioning and reference calibration on the electrolytic copper foil sample; performing three-dimensional panoramic scanning and multi-point scanning supplement on the electrolytic copper foil sample; reconstructing a three-dimensional surface model, carrying out reference comparison, and calculating a plurality of warping key indexes; and performing qualification judgment and trend analysis on the plurality of warping key indexes, generating a warping test report, and performing feedback control of a continuous test. According to the method, the defect evolution rule is visually presented by automatically generating the three-dimensional surface diagram and the distribution curve visual report; the electroplating parameters are dynamically adjusted by triggering the process feedback control module, a test-analysis-regulation closed loop is formed, the warping degradation trend is inhibited from the source, and the product yield and the production continuity are improved.

The invention discloses a test method, device and equipment and a computer readable storage medium, which are applied to the technical field of computers, and comprise the following steps: obtaining multi-source data of a distributed storage cluster, the multi-source data comprising hardware state data, service associated operation data and business dependence data; constructing a relation dependency graph among the hardware nodes, the service nodes and the service nodes based on the multi-source data; adjusting the chaos test script according to the real-time state of the distributed storage cluster and the dynamic adjustment strategy to obtain a target chaos test script; and executing the target chaos test script, determining a fault range and a recovery mechanism based on the relation dependency graph, and outputting a test report. According to the method, comprehensive and accurate presentation of the dependency relationship of each node is realized, and the chaos test script can adapt to the dynamic change of the cluster, so that the test scene is more practical, the invalid test is avoided, the effectiveness, reliability and efficiency of the cluster chaos test are remarkably improved, and the high availability and service continuity of the cluster are powerfully guaranteed.

The invention relates to the technical field of data storage, and discloses a solid state disk total write-in data volume testing method, which comprises the following steps of: initializing a testing environment and self-adaptive parameter configuration of a solid state disk; creating a plurality of parallel data acquisition threads, acquiring test data through the data acquisition threads, and storing the acquired test data into a database; establishing a preset health degree evaluation model, analyzing the collected test data in real time according to a preset health degree index system, dynamically adjusting a test load based on a dynamic acceleration stress model and according to the real-time state of the solid state disk, executing a corresponding test operation according to an adjustment result, and recording a test result; and analyzing the test result, and automatically generating a test report according to the analysis result. According to the method, the dynamic acceleration stress model is introduced, so that the test load is dynamically adjusted according to the real-time state of the SSD, and the test efficiency and accuracy are improved.

The embodiment of the invention discloses an automatic acceptance method and system for relay protection equipment, and relates to the technical field of power system automation, and the method comprises the steps: obtaining a preset acceptance outline template and a configuration description file to which target relay protection equipment belongs; analyzing the configuration description file to extract actual signal information related to the target relay protection equipment; automatically associating the actual signal information with a preset signal in the acceptance outline template to generate an instantiated acceptance outline; in response to the acceptance instruction, automatically interacting with the target relay protection equipment according to the instantiated acceptance outline to execute the test item; automatically acquiring a response result of the target relay protection equipment in the process of executing the test item; comparing the response result with an expected result preset for the test item in the instantiated acceptance outline, judging a test conclusion and generating a structured test report; automation of the acceptance process of the relay protection equipment can be realized, and the accuracy, reliability and efficiency of testing are improved.

The invention belongs to the technical field of performance testing, and particularly discloses an intelligent testing system and method for the impedance performance of an HDI circuit board, and the method comprises the steps: immediately starting an interlayer collection module after the lamination of each line layer, carrying out the electrical precise alignment through a POFV test structure, and collecting the in-situ impedance data; the diagnosis prediction module analyzes and processes the data, generates an impedance deviation parameter set, calculates an impedance performance standard coefficient fused with a layer influence factor, and analyzes and outputs a trend result through a time sequence; the impedance state judgment module carries out abnormity judgment based on a preset rule according to the standard coefficient and the trend result; when the judgment result is abnormal, an adjustment triggering marking module is started; and finally, a test report output module generates a test report containing the impedance performance score and the impedance performance distribution of the whole board. According to the invention, layer-by-layer, real-time and closed-loop intelligent test and regulation of impedance performance are realized, and product quality and production efficiency are effectively improved.

The invention relates to the technical field of agent testing, and particularly provides an agent dynamic behavior safety testing method and system based on a risk conduction quantification model, and the method comprises the steps: collecting agent behavior data which comprises a plurality of pieces of risk operation information and a risk association relationship; constructing a behavior risk association map by taking the risk operation as a node and the association relationship as an edge, labeling a risk attribute and an aging factor for the node, and labeling risk conduction intensity for the edge; constructing a risk rule base based on the risk labeling result and a preset risk judgment logic; inputting the behavior data, the behavior risk association map and the rule base into a trained quantitative model, and calculating a risk conduction probability, an influence range and a critical node; monitoring a behavior track in real time, suspending a task when a multi-dimensional risk threshold is triggered, backtracking an inference chain and generating an intervention record; and fusing the multi-dimensional data to generate a test report. According to the method, the problems of correlation risk missed judgment and response lag in the traditional test are solved, and the pertinence and reliability of the safety test are improved.

The invention discloses a one-key performance test method, medium and equipment based on JMeter and template configuration, and the method comprises the steps: obtaining a parameterized performance test template from a template configuration center in response to a test instruction, injecting runtime parameters through a template engine, and generating an executable JMeter test plan; parsing the plan to identify a load pressure demand, thereby dynamically scheduling resources from a distributed load injector cluster and distributing a test plan; uniformly triggering test execution on the cluster, and synchronously acquiring a performance data stream from the JMeter and a resource data stream of the tested system; and finally, timestamp alignment and fusion are carried out on the two types of data streams, intelligent diagnosis is carried out on a formed monitoring data set based on a diagnosis rule base or an intelligent analysis model, and a visual test report containing bottleneck positioning, resource association and link tracking analysis results is generated. According to the invention, full-process automation and intelligentization of performance testing are realized, and the testing efficiency is remarkably improved.

The invention relates to the technical field of reflectivity factor testing, and discloses a weather radar reflectivity factor precision calibration testing system, which comprises a radar data acquisition module for acquiring reflectivity factor data and finishing time synchronization by adopting an IEEE1588 protocol; the reference data management module is used for generating an electronic reference data set by utilizing a block chain technology; the calibration processing module is used for performing multi-source joint correction on the reflectivity factor data, the rain gauge data, the standard meteorological target template and the environmental parameters, and outputting the corrected reflectivity data; the precision verification module is used for carrying out real-time precision test on the correction data based on a sliding window, continuously generating test results, forming a precision evaluation vector by adopting weighted average, extracting a quality index to obtain a comprehensive score, and judging whether the correction data is normal or abnormal; and the alarm and report module is used for triggering graded alarm in case of abnormity and generating a calibration certificate and a test report. According to the invention, the precision monitoring capability is improved, manual judgment errors are reduced, and the operation efficiency is improved.

The invention relates to the technical field of model testing, in particular to a model testing method and device and electronic equipment, and is used for solving the problems of long test data combination time consumption and low coverage rate of a model testing mode in the related technology. The multiple features are classified, a core feature set, a common feature set and an edge feature set are obtained, and the model can be a deep learning model; generating a test set of the model according to a differentiated data generation strategy of feature importance on the basis of the rule set of the service type adapted to the model, the core feature set, the common feature set and the edge feature set, and performing model performance test on the model by using the test set to obtain a test report; therefore, the efficiency of model algorithm testing is improved.

The invention discloses a report system testing method and device and electronic equipment. The method relates to the field of big data, and comprises the following steps: inputting test data into a to-be-tested report system to obtain a first data processing result; comparing the first data processing result of the test data with the first standard data processing result to obtain a first test result; obtaining a sub-data processing result of the test data in each detection node in a preset processing path in the to-be-tested report system, and obtaining a second data processing result; obtaining a second standard data processing result set of the test data in the preset processing path, and determining a second test result of the test data according to the second standard data processing result set and the second data processing result; and determining a target test result of the to-be-tested report system according to the first test result and the second test result. Through the method and the device, the problem of relatively low efficiency of testing the report system by adopting a black box test method in related technologies is solved.

The invention provides an automatic simulation test system and method for a semiconductor EAP system, and belongs to the field of semiconductor manufacturing, and the method specifically comprises the steps: defining a test scene through test case coding; constructing a test environment by using the equipment simulation module and the external system simulation module; driving a test process of the tested EAP program through an automatic execution engine and generating real-time output data corresponding to the tested EAP program; and comparing the real-time output data generated by the automatic execution engine with an expected result, and generating a test report. According to the processing scheme, behaviors of equipment and an external system are truly simulated in a software simulation mode, an actual production scene is accurately restored in a test link, dependence on a physical environment is reduced, and test coverage is improved; and moreover, the test scene is solidified through codes and configuration files, so that the versioning management and one-key automatic regression test of the test cases are realized, the test efficiency is remarkably improved, and the quality of secondary development is guaranteed.

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 relates to the technical field of optical communication equipment testing, in particular to an integrated optical module multi-parameter testing system and method.The method comprises the steps that a multi-channel parallel testing unit synchronously collects light spot morphology, divergence angles, insertion loss and return loss space and transmission characteristic parameters through a transmission light path and a reflection light path; the parameter collaborative analysis module performs nonlinear correlation analysis and dynamic performance threshold evaluation based on a cross-dimension correlation model; the intelligent calibration engine dynamically adjusts the test benchmark and compensation parameters according to the environment temperature and the equipment aging attenuation model; the fault diagnosis and prediction unit identifies potential defect types of the collimator, constructs a performance degradation prediction model in combination with a working state and environmental stress, and predicts a performance evolution trend according to test data; and the test report generation module automatically generates a standardized and customized dual-mode test report, a quality grade label and a performance optimization suggestion according to the prediction result and the diagnosis conclusion. Therefore, the problems of poor test precision, low test efficiency and the like in the prior art are solved.

The invention discloses a non-standard goods shelf intelligent design method and system based on a parameterized model, and relates to the technical field of computer aided design, and the method comprises the following steps: collecting parameters, and carrying out abnormal value elimination and dimension unified processing to generate a standardized demand parameter set; defining core structure parameters and establishing a component association rule, and constructing a parameterized basic model through three-dimensional modeling; the storage rack structure is optimized by combining storage mechanics and material mechanics characteristics, stress concentration is reduced, and deformation under rated load is controlled; a simulation environment is built for statics and dynamics simulation, and a simulation test report is output; screening an optimal parameter combination to generate a detailed design scheme; and receiving user feedback, adjusting parameters and material selection in combination with production feasibility and cost budget, and repeating optimization simulation steps to generate a final scheme. Efficient design of the non-standard goods shelf is achieved through parametric modeling and intelligent optimization, the structure is safe and reliable, the material utilization rate is high, and the design quality and efficiency are remarkably improved.

The invention relates to an ultrasonic radar aging test method, system and device and a medium. The method comprises the following steps: acquiring a batch configuration file and a corresponding test scheduling table, and performing initial calibration on each to-be-tested AK1 sensor based on the scheduling table to obtain a baseline parameter set of the sensor; configuring an excitation-observation sequence according to the batch configuration file and the baseline parameter set to obtain a test plan, and executing a single test cycle according to the test plan to obtain original sampling data; preprocessing the original sampling data to obtain an observation vector and an event mark, and performing state estimation on the observation vector and the driving excitation corresponding to the observation vector to obtain a state estimation and residual error sequence; based on a preset validity criterion, performing validity judgment on each observation vector according to the event mark and the residual sequence to obtain a valid sample set; and performing health degree evaluation based on the effective sample set and state estimation to obtain an aging test report. By adopting the method, the accuracy of the radar aging test can be improved.

The invention relates to the technical field of software testing, and discloses an agent-based multi-dimensional test sample automatic generation method and system.The agent-based multi-dimensional test sample automatic generation method comprises the steps that code changes are captured, interface definitions are extracted, and multi-source data are fused for consistency verification; constructing a multi-dimensional dependency graph and analyzing the change influence to obtain an associated interface list; generating a multi-dimensional test scene; performing parameter traceability and consistency derivation, and initializing test data and environment to obtain a complete test data set; generating a use case code, and performing hierarchical optimization and executable verification; test arrangement optimization and automatic execution are carried out, and faults are monitored and diagnosed in real time; carrying out multi-dimensional analysis and defect identification, dynamically evaluating the value of a test case and optimizing a test strategy to obtain a comprehensive test report; according to the invention, full-process automation of test case generation is realized, the test efficiency and quality are improved, and the test maintenance cost is reduced.

According to the verification method based on Ethernet end-to-end communication, the storage medium and the electronic equipment disclosed by the invention, the initial configuration operation is firstly executed, the communication connection between the test end and the tested equipment is established, then the verification request message is sent to the tested equipment, and the test report is generated based on the response message returned by the tested equipment. The end-to-end communication verification method and system can achieve systematic verification of end-to-end communication, can simulate an actual operation scene, automatically detect and record communication abnormity, counter logic errors, boundary values and CRC verification errors and generate a test report in a high-load, high-concurrency and multi-service-flow parallel complex network environment, improves the automation degree and efficiency of the test, and improves the test efficiency. Dependence on artificial experience is reduced, and stability and reliability of an end-to-end communication mechanism under extreme working conditions can be quantified.

The embodiment of the invention provides a method, device and system for testing automatic driving based on artificial intelligence, and a storage medium, and relates to the technical field of automatic driving. The method comprises the steps of collecting driving data of an automatic driving vehicle; controlling to start and stop recording test data according to the driving data through the artificial intelligence large model; generating a test report according to the recorded test data through the artificial intelligence large model; wherein the test report comprises root cause analysis, scene performance differences and / or optimization suggestions. According to the method, the recording package is automatically triggered according to the driving data through the artificial intelligence large model, manual triggering of the recording package is not needed, recording omission of key events can be reduced, root cause analysis, scene classification and performance evaluation are carried out through the artificial intelligence large model, retrieval of massive multi-modal data one by one and dependence on manual annotation and experience judgment are not needed, and the efficiency is improved. And the test efficiency and the reliability of the test result are improved.

The invention discloses a test method and system for dynamic configuration and verification of a GPP of an eMMC memory, and relates to the technical field of embedded memorizers, and the method comprises the following steps: S1, the test system obtains a test parameter set through external input or from a predefined test case library, S2, after the input test set is processed through a dynamic parameterization engine DPCE, the test parameter set is stored in the test case library; the test system analyzes the configuration data to obtain analysis parameters, and to-be-written configuration data is formed; s3, before a configuration command is sent, dynamically constructing an eMMC partition layout model, and executing a conflict detection algorithm; s4, the test system writes the configuration data to be written after conflict detection into the eMMC; s5, adopting a triple persistence verification ring mechanism to form closed-loop verification with configuration taking effect; and S6, outputting a detailed test report by the test system based on the judgment node in the test process. According to the method, the test efficiency is remarkably improved, the test coverage rate and the product quality are enhanced, and more flexible and comprehensive test case design is supported.

The invention relates to the technical field of computer software testing, in particular to an AI-based webpage background automatic testing method and system.The method comprises the steps that a target webpage address, a login account and test target description input by a user are obtained, a decryption password corresponding to the login account is read from an encryption database, and meanwhile a browser driver is initialized; accessing a target webpage, adjusting a view to ensure that the webpage is completely displayed, monitoring a loading state, and retrying or reporting an error if loading is overtime; detecting a webpage login area, automatically filling an account password, and detecting a login state; matching functional navigation according to the test target description, if the functional navigation is not found, rolling a navigation view to unfold hidden items, and skipping to a target page after a target menu is positioned; according to the method, the target page data is collected, the target page data is analyzed through the multi-mode AI model in combination with the test target description, and the test report is generated. The method does not need scripts, adapts to page changes, is high in flexibility, and reduces the test cost and improves the test efficiency through AI visual judgment.

Methods and systems for artificial intelligence (AI) assisted automation of testing of a software functionality related to a user intent on a software platform is provided. In one embodiment, the method includes receiving user action data indicating the user intent related to a software platform and generating a human-readable test scenario. The test scenario, which includes a sequence of human-readable testing steps and an expected outcome, is generated using a scenario machine learning (ML) model. The method includes generating an interpretable test script based on the test scenario using a script ML model. The test script is interpreted to implement testing steps on the software platform, generating a test outcome. A human-readable test report is also generated to evaluate the test scenario on the software platform, based on the test outcome and the expected outcome.

The invention discloses an automatic test method and system for a resistor. The method comprises the following steps: acquiring a to-be-tested resistor; configuring a dynamic impulse voltage gradient parameter and a staged acquisition strategy for the to-be-tested resistor; based on the dynamic impulse voltage gradient parameter and a staged acquisition strategy, acquiring response voltage, response current and temperature data of the to-be-tested resistor under different impulse voltages as target data; performing feature extraction on the target data, and determining an anti-surge index and an impact response consistency index corresponding to the to-be-tested resistor based on the extracted features; generating a test report according to the anti-surge index and the impact response consistency index; the resistor performance data is acquired in multiple dimensions, and the resistor is accurately tested based on a resistor performance evaluation quantification system.

The invention relates to the field of interface testing, and particularly provides a cross-type interface testing method and system based on a console, a terminal and a medium, and the method comprises the steps: packaging a bottom layer function of an operating system through a dynamic link library; interface configuration information is analyzed from the interface registration request, and a unique ID is allocated to an interface and registered to a console; receiving an interface test request, selecting an execution mode according to a test strategy identifier carried in the test request, if the execution mode is a single-interface test, directly calling a target interface and introducing a test parameter to carry out an interface test, and if the execution mode is scripted, analyzing an interface calling sequence and a logic control rule in a test script to carry out the interface test; calling a corresponding adapter according to the interface type in the testing process; and generating a structured test report for display. According to the method, a lightweight and high-expansion cross-type interface test scheme is realized, and the test coverage rate and efficiency are improved through dynamic interface adaptation, scripted process control and visual result analysis.

The invention discloses an AI-driven full-scene intelligent test platform which comprises the following steps: performing static scanning on a target code under the triggering of a code submission event through a code static scanning module to generate a scanning result, and then inputting the scanning result into a pre-trained first AI model to obtain code quality evaluation data. And generating a white box test case through a white box case generation module. In addition, a black box test case is generated through a black box case generation module. An automatic script generation module inputs the black box test case into a pre-trained fourth AI model to generate an automatic test script; and finally, running the white box test case and the automatic test script to obtain an original test report. And inputting the original test report into a pre-trained fifth AI model through a result analysis module, and generating defect distribution data and test suggestion data. The full-scene test coverage of the software life cycle is realized, the test of each link of the software is comprehensively and systematically covered, and the test efficiency is improved.

The invention relates to the technical field of 5G communication security, and discloses a 5G RedCap application layer security test method, system, device and medium for power business, comprising: constructing a power business test scene library, setting a test case for each scene, performing power business communication environment simulation, and in the application layer communication process of a terminal and a master station, establishing a test case for each scene; multiple types of security attacks are dynamically injected to obtain a detection result of the security event; and constructing a multi-dimensional safety evaluation index system, carrying out quantitative scoring and grade evaluation on the application layer safety performance of the 5G RedCap terminal in the power business scene, and generating a test report. According to the method, the test efficiency and consistency are greatly improved, a quantitative security assessment result is provided, the expandability is good, the power business protocol, the business logic and the security risk characteristics are deeply fused, and a business semantic driven security test system is constructed.

The invention relates to an automatic test system for an energy storage system. The system comprises a test management module, a fault injection module, an automatic configuration module, a strategy verification module and a test report module. The test management module is used for creating a test task for the energy storage system; the fault injection module is used for simulating a preset fault scene corresponding to the test task and generating a fault test instruction corresponding to the preset fault scene; the automatic configuration module is used for performing parameter configuration on a target device associated with the test task in the energy storage system according to a preset system parameter configuration file, and generating a target configuration parameter of the target device; the strategy verification module is used for collecting actual response data of the energy storage system in the test process of the fault test instruction, and performing feature matching on the actual response data and expected response data in a preset strategy library to generate a strategy matching result; and the test report module is used for generating a test report of the test task according to the parameters. The efficiency and accuracy of the energy storage system test can be improved.

The invention belongs to the technical field of mobile phone mainboard testing, and particularly relates to a dynamic stress testing method and system for a folding screen mobile phone mainboard, and the method comprises the steps: constructing a testing parameter set and a stress loading model to simulate a real folding working condition; installing a mainboard to be tested and applying periodic bending stress; in the stress loading process, electrical and signal integrity and functional state parameters of the mainboard are monitored and collected in real time; stress-performance coupling analysis is carried out on the collected data, dynamic correlation between stress and performance is established, the performance state is evaluated, and fault early warning is carried out; and finally generating a test report. The system comprises a test control and modeling module, a stress loading execution module, an online monitoring module, a coupling analysis module and a report generation module, the actual bending process can be more accurately reproduced by constructing a stress loading model, the authenticity and effectiveness of the test are improved, time sequence alignment and key parameter extraction are achieved, and the test efficiency is improved. And the real-time association between the dynamic stress and the multi-dimensional performance parameters is established.