26 results about "Test matrix" patented technology

The invention relates to a low-code visualization optimization method and system for power credential development, and the method comprises the following steps: S1, obtaining data in a credential environment, recognizing the interface difference and performance bottleneck points between components through a compatibility test matrix, and building a standardized adaptive interface specification; s2, obtaining a standardized business object model based on the standardized adaptive interface specification; based on the business object model, defining attributes, relationships and constraint rules of each business entity, and forming a data dictionary and an interface specification special for the electric power field; s3, on the basis of the data dictionary and the interface specification special for the power field, constructing a DSL (field specific language) of power visualization; s4, a dragging type interactive design is adopted, and the visual operation is converted into a DSL configuration file; and S5, automatically converting the DSL configuration into a React or Vue component code through a code generation engine, and carrying out compatibility optimization on the kernel of the creative browser. According to the invention, the power credential development efficiency is effectively improved.

The invention discloses a multi-dimensional power consumption test method and device for a solid state disk and a storage medium, and the method comprises the steps: controlling a test environment parameter and the solid state disk to enter a preset initial state in response to a test start instruction; based on a test matrix which predefines a plurality of temperature and capacity occupation combinations, controlling a test device to apply a multi-dimensional dynamic working load to the solid state disk, and synchronously acquiring power consumption data, internal state data and performance data; performing time synchronization and data fusion on the collected multi-source data to form an associated data set; and performing intelligent analysis on the data set, extracting power consumption characteristics of the solid state disk, and generating a power consumption evaluation report based on the power consumption characteristics. According to the method, the problems of single test dimension, incomplete test condition coverage, failure in effective fusion of multi-source data and lack of intelligent analysis in the prior art are solved, and comprehensive, accurate and automatic evaluation of the power consumption of the solid state disk is realized.

The application discloses a kind of multi-dimension power consumption test method, equipment and storage medium of solid state disk, the method includes: in response to test start instruction, control test environment parameter and solid state disk enters preset initial state;Based on the test matrix of multiple temperature and capacity occupation combinations being predefined, control test equipment to apply multi-dimension dynamic work load to solid state disk, and synchronously collect power consumption data, internal state data and performance data;The multi-source data collected are time-synchronized and data fusion, form associated data set;Intelligently analyze the data set, extract the power consumption characteristics of solid state disk, and generate power consumption evaluation report based on it.The application solves the problems of single test dimension, incomplete test condition coverage, ineffective fusion of multi-source data and lack of intelligent analysis in the prior art, and realizes comprehensive, accurate and automated evaluation of solid state disk power consumption.

The application relates to a low-code visual optimization method and system for power signal creation development, which comprises the following steps: S1: acquiring data in a signal creation environment, identifying interface differences and performance bottleneck points among various components through a compatibility test matrix, and establishing a standardized adaptive interface specification; S2: acquiring a standardized business object model based on the standardized adaptive interface specification; defining the attributes, relationships and constraint rules of various business entities based on the business object model, forming a data dictionary and an interface specification special for the power field; S3: constructing a power visual field-specific language DSL based on the data dictionary and the interface specification special for the power field; S4: converting the visual operation into a DSL configuration file by adopting a drag-and-drop interactive design; and S5: automatically converting the DSL configuration into a React or Vue component code by a code generation engine, and performing compatibility optimization on a signal creation browser kernel. The application effectively improves the power signal creation development efficiency.

The invention provides a function logic test case generation method, a test method and a device, and the method comprises the steps: automatically generating a directed conversion diagram containing the conversion relation between different hardware power states, and a test matrix containing the specific information of each software logic function through analyzing a demand document of the device; in the process of generating parameter difference information, hardware power supply states and software logic functions are tightly coupled, all possible state conversion paths are traversed through a directed conversion diagram, and functional parameter changes under different hardware power supply states and software logic functions are automatically identified. Therefore, basic test cases corresponding to different functions in each power supply state can be generated; on the basis, boundary parameters and a conversion relation are further adjusted, and a boundary test case and an abnormal test case are generated, so that the test case capable of realizing full-scene coverage is automatically generated, and high-coverage-rate efficient full-automatic test is conveniently carried out on functional logic of the equipment in a multi-power-supply state.

The invention provides a method for supporting batch satellite data analysis in a batch production satellite manufacturing process, and the method comprises the steps: automatically generating a satellite test matrix table according to a satellite test station, a satellite SN serial number and test feature data; collecting batch-produced satellite telemetry data of the listed test item lines based on the satellite test matrix table; analyzing the satellite telemetry data, and judging whether the data is normal or abnormal; calculating the maximum value, the minimum value, the average value and the range value according to the important telemetering parameters with the data in the normal value range in the test matrix time range of each satellite; and performing data analysis on the calculation result to obtain an evaluation result of the current batch of satellites. The analysis method mainly has an integration and analysis process for the data of the batch-produced satellites, the analysis of the data of the satellites is further carried out in the stages of average value, maximum value and minimum value, further comparison of telemetering parameters is realized through software, and the data deviation condition of the current batch-produced satellites is obtained through data analysis.

The invention belongs to the technical field of terminal testing, and particularly relates to a mobile intelligent terminal compatibility testing method which comprises the following steps: S1, aggregating terminal hardware configuration, software environment and network state data through federal learning, and constructing a real-time testing matrix; s2, synthesizing an edge scene test case based on the generative adversarial network; s3, synchronously collecting a touch track, a display frame rate and an audio synchronization deviation, and quantifying user interaction experience in combination with eye tracker data; s4, deploying a lightweight virtualization intermediate layer between the gap / Android / iOS, automatically converting an equipment interconnection instruction, and verifying cross-chain compatibility; and S5, tracking the privacy data flow by adopting dynamic taint analysis, and detecting illegal behaviors in real time. According to the method, through dynamic environment modeling, real-time test matrix construction and hierarchical aggregation architecture, terminal nodes encrypt and upload local data by using differential privacy and homomorphic encryption technologies, so that the security of the data is ensured.

This application discloses an automated testing method and system based on matrix switching. The method includes: establishing an internal communication connection for the system; issuing a switching command to the microcontroller based on the acquired current test pin; the microcontroller parsing the switching command, pulling down all control pins electrically connected to the relay test matrix, and after a preset safety dead time, pulling up the corresponding control pins to close the target test path; executing a zero-point calibration process after the target test path is turned on, and acquiring the dynamic current offset of the target test path; the host computer dynamically adjusting the test voltage output by the programmable voltage source to obtain real current data; after the test is completed, the host computer automatically generates a test report containing a standardized IV characteristic curve. This application balances safety, versatility, high precision, and high efficiency through flexible reconstruction of matrix switching, "disconnect-then-connect" safety timing, precise calibration of dynamic zero points, and fully automated report generation.

The application belongs to the technical field of semiconductor chip testing, and particularly relates to a test matrix instant stop method based on target result triggering, which is suitable for a test matrix scene, and realizes instant termination of a test process by relying on a preset hardware signal line designed by connecting a pull-up resistor to Vcc and comprises the following steps: S1, a pre-test configuration stage, S2, a test matrix preparation execution stage, S3, a test matrix execution stage, and S4, an instant stop stage. A flexible configuration mechanism of test target event registration and stop event binding is constructed, and a special hardware signal line of connecting a pull-up resistor to Vcc is matched to realize global synchronous triggering and stopping across a board card, the traditional fixed sequence test mode is abandoned, and the core problems of executing redundant test items after a test target is achieved in the prior art, causing invalid consumption of test time and equipment resources, and lacking of unified synchronous stopping capability in multi-board card cooperative testing and high parallel / multi-station test period being greatly lengthened are solved.

A non-transitory computer readable medium and related method includes processing circuitry that executes an ordered error correction code construct. The processing circuitry receives a first plurality of matrices. The processing circuitry is to generate a second plurality of matrices based on the at least one additive candidate matrix and each respective matrix of the first plurality of matrices. The processing circuitry then generates a third plurality of matrices based on the at least one additive test matrix and each respective matrix of the second plurality of matrices. Each respective weight indicating a respective scalability of each matrix in the second plurality of matrices is determined based on the third plurality of matrices. The processing circuitry then selects at least one matrix from the second plurality of matrices based on the determined weights. The processing circuitry then generates an error correction code based on one of the at least one selected matrix.

The invention provides a circular water film-based low-pressure nozzle impact performance optimization method, which comprises the following steps of: establishing a coordinate system by taking a jet flow impact point as an original point, and selecting at least four parameters from geometric parameter vectors of a nozzle to construct a joint objective function, the combined target value adopts a weighted product form of stagnation point pressure, water film area and jet flow hitting power; constructing a test matrix, changing at least four geometric parameters at the same time, and obtaining multi-dimensional response data of the joint target value through numerical simulation; building an explicit second-order model of the joint target value by using multivariate nonlinear regression; performing global optimization by adopting a genetic algorithm or a response surface method, and outputting an optimal geometric parameter combination which maximizes the joint target value; the improved nozzle is obtained through machining according to the optimal geometric parameter combination; and if the hitting power coefficient of the improved nozzle is greater than that of the original nozzle, the optimization is completed. According to the method, parallel search can be carried out in a multi-dimensional parameter space, and the optimization period is remarkably shortened.

This invention discloses a big data-based SMS sending optimization system, belonging to the field of big data marketing technology. The system includes: a compliance pre-verification module, a multi-version content generation module, a spatiotemporal test matrix construction module, a dynamic traffic allocation module, and a strategy decision feedback module. In terms of user grouping and traffic allocation, this invention uses user profile feature screening and Pearson correlation coefficient to accurately select features highly correlated with SMS response rate, dividing the target user group into K homogeneous groups and rigorously verifying the internal homogeneity and inter-group heterogeneity of the groups. On this basis, each group of users is mapped to a test unit matrix proportionally, and the consistency between the sample feature distribution and the target group is verified by calculating feature statistics. This ensures that the samples of the test units represent the target group to the greatest extent, making the data relied upon by the subsequent strategy decision feedback module more representative and scientific.

The embodiment of the invention discloses a multi-environment adaptive front-end automatic testing method and device and a medium, and relates to the technical field of automatic testing, and the method comprises the steps: receiving an automatic testing request, obtaining environment configuration data from a multi-environment configuration center according to the automatic testing request, so as to generate a multi-environment adaptive testing matrix, the test matrix comprises a plurality of test scenes, and each test scene is associated with a scene identifier, a test step and an expected result; for each test scene in the test matrix, obtaining DOM structural features of the current test environment through a test script adaptive engine, and dynamically adjusting the test script according to the DOM structural features and environment type parameters of the current test environment to determine an adjusted test script; and executing a test by using the adjustment test script, comparing the environment consistency verification data of the same operation in different test environments, and generating a cross-environment difference report based on the environment consistency verification data.

The invention belongs to the field of structural strength design of composite materials, and particularly relates to a thermal damage comparison detection method for a composite material. The method comprises the following steps: planning a thermal damage test matrix, wherein the test matrix comprises a plurality of different combinations of thermal damage temperatures and thermal damage time; performing a thermal damage test on the composite material standard test piece; measuring the porosity and one or more residual mechanical properties of each standard test piece subjected to the thermal damage test; establishing a corresponding relation database among the thermal damage temperature, the thermal damage time, the porosity and the residual mechanical properties; measuring the porosity of the actual composite material structure to be evaluated; the measured actual porosity is compared with the corresponding relation database, and the thermal damage degree and / or the residual mechanical property of the actual composite material structure are / is determined. The method provides a scientific and reliable basis for thermal damage assessment and maintenance decision of the composite material structure.

The application discloses a boundary scan test matrix generation method based on heuristic search, which comprises the following steps: firstly, counting the number of networks in the measured circuit board and calculating the normalized distance between any two networks; then, calculating the short-circuit probability between the networks through the normalized distance between any two networks, so as to construct a short-circuit probability matrix between the networks; then, setting a test matrix and generating a plurality of row test matrices according to the test matrix; finally, searching for the test matrix with the minimum cost through the establishment of a search tree based on the test cost and the heuristic function value.

The embodiment of the invention provides an Ethernet protocol test method and device, a medium and a product. The method comprises the following steps: sending a service message to a tested device, and obtaining a service response message returned by the tested device; determining a service mapping table of the tested equipment based on the service response message, and constructing a corresponding test matrix based on the service mapping table; configuring an Ethernet protocol test strategy corresponding to the tested device based on the test matrix, and sending a test message to the tested device based on the Ethernet protocol test strategy; and determining an Ethernet protocol test report of the tested equipment based on a test response message corresponding to the test message. The method is used for guaranteeing the comprehensiveness of Ethernet protocol testing, avoiding redundant operation and effectively guaranteeing the compatibility and stability of vehicle-mounted Ethernet communication.

The invention discloses a confrontation sample generation and robustness automatic verification system for an industrial visual inspection model, and the system comprises four core modules: a confrontation sample generation module, a three-dimensional test matrix construction module, a robustness automatic evaluation module, and an improved report generation module, and an optional closed-loop iterative optimization module. The method comprises the following steps: generating a high-fidelity adversarial sample of which the SSIM is greater than or equal to 0.85 and the PSNR is greater than or equal to 25dB through the synergy of a generative adversarial network (CGAN / DCGAN) and a physical imaging model containing illumination, noise and shielding simulation; a full-dimension test matrix is constructed by'defect type-imaging condition-interference intensity ', and indexes such as mAP and omission ratio are automatically calculated and visually presented; and outputting an improved report containing weak link analysis, parameter adjustment and sample supplement suggestions, and supporting'generation-evaluation-optimization 'closed-loop iteration. The system is compatible with a mainstream framework model, is suitable for various industrial detection scenes, can shorten the model verification period by more than 70%, improves the mAP by 8-12%, significantly reduces the missing detection / false detection rate, and guarantees the reliable landing of the model industrial scene.

The application provides a kind of rail transit vehicle composite material structure virtual analysis method and system, belong to rail transit technical field.The virtual method includes: according to the basic provision made to the physical and mechanical characteristics of rail transit structure characteristics and composite material, virtual model establishment rule method, material parameter characterization acquisition method and test matrix, load boundary application method, virtual model checking method, strength analysis process, result output and result evaluation.The application realizes the virtual analysis verification and output evaluation of rail transit composite material structure, solves the problem of low result simulation precision of large composite material rail transit equipment, verifies the accuracy to reach the engineering requirement, effectively increases the one-time passing probability of full-size strength test, reduces the development test cost.

The invention discloses a printing and dyeing industry cloth washing color fastness detection method and system, through automatic pause and real-time acquisition of spectral data in the washing process, the limitation that only results before and after washing can be obtained in the traditional static test is broken through, the color change process can be continuously tracked, the dynamic evolution rule of color fastness can be revealed, and the detection accuracy is improved. A multi-dimensional test matrix including temperature, time, concentration and the like is established, the influence of different washing conditions on the color fastness can be comprehensively evaluated, the scientificity and coverage of the test can be improved, and by drawing a color difference change curve and establishing a dynamic color fastness model, not only is final rating provided, but also the color fastness performance under any condition can be predicted. Prospective guidance is provided for product development and quality control, the whole process is integrally designed from washing to data acquisition, processing and modeling, human intervention is reduced, and test repeatability and objectivity are improved.

The invention discloses a POS-based NFCTAG test method and system, and the method comprises the steps: generating a test task sequence based on a preset test matrix, and controlling a rotating disc to rotate and position a target test mobile phone; resolving a target space pose of an end effector of the mechanical arm through a space coordinate transformation algorithm and planning a collision-free motion path so as to establish an NFC communication link; in the NFC communication link establishment process, multi-modal feedback data are synchronously collected and input to a predefined success criterion decision model for fusion analysis, and a single test result is generated; and iteratively executing all test tasks and recording results, and finally generating a comprehensive evaluation report. According to the invention, full automation of the test process and systematic coverage of multi-dimensional parameters are realized, and the problems of low test efficiency, poor result consistency and limited test scene coverage in the existing test method are effectively solved.

The invention provides a test matrix generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a test item description text, so as to extract a plurality of description variables, and determining the variable values of the description variables; based on the correction condition, judging the coverage rule and all description variables, and creating a truth table; and generating a test matrix based on the project description text and the truth table. The method is used for automatically and quickly generating a test matrix and remarkably improving the test matrix generation efficiency.

The invention discloses a performance test optimization method and device for a wind and wave hybrid energy obtaining system, and relates to the field of wind and wave hybrid energy obtaining simulation optimization and the field of data processing. The method comprises the following steps: generating an initial database based on a full-coupling virtual test model, and determining a six-dimensional comprehensive performance test matrix and a comprehensive scoring mode of a core index; performing intelligent testing on the target parameter space by using a Bayesian algorithm, and screening a recommendation scheme; carrying out feature importance evaluation and weight optimization on the core indexes of the recommendation schemes by adopting a LightBGM model, and calculating to obtain a comprehensive score of each recommendation scheme; and carrying out optimization decision making by combining visualization and intelligent diagnosis results, selecting a recommendation scheme with the highest comprehensive score as a target design scheme, and if the scheme does not meet requirements, carrying out iterative optimization until a final scheme is selected. According to the scheme provided by the invention, efficient optimization and accurate evaluation of the system design scheme can be realized, the research and development period is remarkably shortened, and the test cost is reduced.

The invention belongs to the technical field of fault injection, and particularly relates to a cross-platform dynamic fault injection test method and system based on a hyper-converged server, a terminal and a storage medium, and the method comprises the steps: constructing a cross-platform hardware abstraction layer by adopting an FPGA or virtualization technology, and constructing an automatic fault injection engine; a multi-dimensional test matrix is constructed, a dynamic adaptation and intelligent decision module is constructed, and a hyper-fusion scenarized test module is constructed. According to the method, a cross-platform hardware abstraction layer based on an FPGA (Field Programmable Gate Array) or a virtualization technology is constructed, and instruction translation cache, two-stage assembly line translation and quantitative indexes are innovatively adopted, so that the compatibility problem of test scripts in multi-architecture processor environments such as x86, ARM (Advanced RISC Machines) and RISC-V (Reduced Instruction Set Compatibility) is fundamentally solved; seamless migration and unified execution of the test tool and the use case on different hardware platforms are realized, and the bottleneck that the prior art is limited to a single architecture is broken through.

The invention discloses an abnormal state detection method, device and equipment, and relates to the technical field of abnormal detection, and the abnormal state detection method comprises the steps: initializing a default matrix according to the number of state types corresponding to a detected system and a preset window length; sliding in a historical state sequence corresponding to the detected system based on a preset window length, and updating the default matrix according to frequencies of positions corresponding to various state types to obtain a target matrix; normalizing the frequency of each state type in the target matrix at each position to obtain a corresponding distribution probability matrix; and determining a test matrix corresponding to the test sequence of the detected system, and determining a state detection result corresponding to the test matrix according to the position distribution condition and the distribution probability matrix corresponding to each state type in the test matrix. The storage complexity of the system state sequence can be reduced, and the abnormal state detection efficiency is improved.

The application discloses a program mutation fault positioning method and system based on a modified test matrix, and comprises the following steps: processing a source program to be tested by a method combining symbolic execution, shared variable tracking and hypothesis reasoning, finding out code lines for generating mutations by identifying key paths, shared variables and potential fault interaction points in the code; understanding the context of the source code based on a large language model, generating complex mutants for the selected code lines, and running the mutated programs to obtain a kill information matrix; for different mutation types, modifying the probability by a Bayesian method, modifying the test matrix according to the probability, and reducing the noise in the test matrix; and calculating the suspicious degree according to the modified test matrix, and generating a suspicious code list. The method can reduce unnecessary mutation operations, improve test coverage, and improve the accuracy of fault positioning.