27 results about "Normalized test" patented technology

The invention discloses a POL power supply automatic test method based on modular design, and belongs to the technical field of power supply test. The method comprises the following steps: firstly, under the control of an upper computer, automatically reading POL power supply basic parameters including key characteristic parameters such as input / output voltage, rated current and frequency from a preset Excel table, and establishing a judgment reference for testing; then, instrument initialization is completed, communication connection with test equipment such as an oscilloscope, an electronic load and a direct-current power supply is established, and configuration of initialization function parameters is completed; then, executing a measurement task of each core parameter of the POL power supply to be tested, and in the test process, executing a parallel measurement management mechanism, namely configuring each instrument parameter and channel state in real time according to a specific test item, and triggering a retry or interrupt logic under the conditions of communication abnormality, data timeout and the like until the test recovers a running state; and finally, after the test is completed, performing Excel storage and interaction on the standardized test data and the waveform screenshot, and finally safely exiting. According to the POL power supply automatic test method based on the modular design, the whole test process is divided into a plurality of serial or parallel function processing units such as parameter reading, instrument initialization, test execution and test management, data storage and interaction and the like, and high efficiency and usability of a test system are achieved.

The invention discloses a gas film flow field pressure testing device, and particularly relates to the technical field of gas bearing detection, the gas film flow field pressure testing device comprises a rack, a testing assembly is arranged on the rack, the testing assembly comprises a testing table arranged on the rack, and two bases are arranged at the bottom of an inner cavity of the testing table; and two ends of each base are respectively provided with a pressurizing block for testing a test piece. According to the invention, the deflection angle of the articulation piece is adjusted through the screw rod, and the arc-shaped constraint groove and the self-weight resetting structure of the pressurizing block are matched, so that gas bearing test pieces with different outer diameters and different groove type parameters can be flexibly adapted; the adaptability depends on standardized test logic formed by collaborative research and development, and on the contrary, the test capability of accurate data and panoramic working conditions covers more application scenes, so that an accurate, comprehensive, efficient and practical closed-loop advantage is formed, and the industrial application value of the device is remarkably improved.

The invention provides an automatic conversion method from an SPICE model to a Verilog-A model, and relates to the technical field of integrated circuit simulation, and the method comprises the steps: obtaining test data of a to-be-modeled device, carrying out the normalization processing of the test data, and obtaining the normalized test data and a normalization parameter; training an initial neural network model according to the normalized test data to obtain a trained neural network model; extracting a weight matrix and an offset vector of each network layer from the network structure information of the trained neural network model, and scaling the weight matrix and the offset vector based on the normalized parameter to obtain a scaled parameter; and according to the zoomed parameters and the network structure information of the trained neural network model, generating a simulation model code conforming to a Verilog-A grammar specification. According to the method, efficient and accurate conversion from the neural network model to the Verilog-A model is realized.

The invention discloses a flight control test system, and relates to the field of unmanned aerial vehicles. The flight control test system comprises a test main control unit, a simulation test module, an interface test module, a power supply adaptation module and a data recording and analyzing unit, and the test main control unit coordinates the modules to work cooperatively, outputs a standardized test instruction, automatically collects tested flight control response data and completes analysis and report generation. According to the flight control test system, all the modules are coordinated to work cooperatively through the test main control unit, a full-process automatic test framework is constructed, multi-dimensional tests of starting performance, attitude calculation precision, interface functions and the like can be completed without manual intervention, and the problems that a traditional test is low in efficiency and poor in repeatability are thoroughly solved.

The embodiment of the application provides a new energy power prediction model evaluation method and device for extreme weather scenarios, which comprises the following steps: combining the measured meteorological data corresponding to the power drop and recovery time in the historical operation data of the new energy unit, and the protection setting value and start-stop condition of different types and models of equipment in the new energy unit to determine the extreme weather meteorological factor threshold, which is used for stage division of the extreme weather based on the operation state of the new energy unit; combining the extreme weather meteorological factor threshold and the historical operation data to generate a standardized test data set of different extreme weather types, wherein the standardized test data set comprises meteorological data and normalized power generation at each moment under extreme weather; and using the standardized test data set to evaluate the new energy power prediction model to be tested. The method of the embodiment can significantly improve the evaluation effect of the new energy power prediction model.

The present application relates to the field of fluid machinery, especially to a full-flow extreme power point rapid determination method and system for diesel engine fire pump set. According to the industry standard and pump set parameters, the method presets the reference parameters and solidifies the Q-N-H three-dimensional working condition mapping table to build a standardized test reference. Four test intervals are divided according to the flow, and exclusive control algorithm and safety protection logic are matched. After the equipment is preheated and stabilized, multi-source working condition data is collected through high-frequency sampling and time stamp calibration, and the real-time input power of the diesel engine is accurately calculated through sliding filter denoising, parameter normalization and multi-dimensional loss correction. Through the least square method five polynomial fitting P-Q characteristic curve, combined with the first and second derivative joint criterion, the only power maximum point in the effective flow interval is accurately calibrated. The method is accurate, fast and highly standardized, effectively improves the determination accuracy and efficiency of the extreme power point, and meets the combined rule detection requirements of the diesel engine fire pump set.

The invention relates to the field of chip fault detection, in particular to a chip fault detection method and device, equipment and a storage medium. The method comprises the following steps of collecting a whole-process test data set of a target chip, performing intelligent data cleaning processing, and generating a standardized test data sample; performing tiny flaw depth identification and detail expansion on the standardized test data sample to generate a flaw-expanded sample; performing normalized defect detection division based on the defect expansion sample to generate an abnormal fault precursor; performing multi-step fault prediction on the abnormal fault precursor to obtain multi-step fault evolution prediction data; and performing dynamic risk trend assessment based on the multi-step fault evolution prediction data, and performing fault diagnosis decision. According to the invention, the chip fault is accurately and efficiently detected, and the chip diagnosis efficiency is improved.

The invention discloses a POL power supply automatic test method based on multi-instrument cooperation. Instruments such as an oscilloscope, an electronic load, a data acquisition instrument and a direct-current power supply are automatically scanned and identified through a communication protocol, and a control instance is created; to-be-tested power supply parameters are read from the configuration file, the time base, the measuring range, the sampling rate and the load test sequence of the oscilloscope are automatically calculated, and automatic matching of test resources is achieved; a state machine is adopted to drive full-process automatic testing, waveforms are collected in real time, and key parameters are recorded; the overcurrent protection test adopts an intelligent search algorithm to approach a protection threshold in a small step manner, so that the efficiency and the precision are improved; parameterized configuration and automatic adaptation of a multi-phase power supply are supported; and a standardized test report containing data and waveforms is automatically generated. The test time is 30-40 minutes, the efficiency is improved by 4-6 times compared with the manual 2-3 hours, misoperation is avoided, the result consistency and traceability are ensured, multiple brands of instruments are supported, and the universality is high.

The invention relates to a test script generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a test case for testing a vehicle protocol message, and acquiring case key data corresponding to a preset field from the test case; inputting the case key data into a preset big language model, and outputting each standardized test action contained in the test case and a test parameter corresponding to each standardized test action through the big language model; according to each standardized test action and each test parameter, constructing an automatic test table corresponding to the test case; and generating a test script corresponding to the test case based on the automatic test table. By adopting the method, the intelligent degree of the test script generation mode can be improved.

This application proposes a method, apparatus, electronic equipment, and program product for constructing and integrating test models for legged robots. First, a data acquisition terminal and a scene modeling configuration module generate a scene model file to build a standardized test scene. A sensor modeling configuration module then generates a sensor simulation model file coupled with the environment based on this file, simulating the robot's perception function. A dynamics modeling configuration module combines the robot's basic information with scene characteristics to generate a validated dynamics model file, simulating the robot's motion function. An integrated testing module loads the three types of models to complete collaborative simulation testing, achieving collaborative verification of perception and motion functions. Finally, the test process configuration is updated to achieve standardized construction and integrated testing of the test model. By relying on standardized models to optimize the testing process, the standardization and adaptability of legged robot simulation testing are improved, providing reliable support for its testing.

The invention discloses a test device for a power transformer, and belongs to the technical field of power transformers, the test device comprises a main body module and a test module, the main body module comprises a device main body, the top of the inner wall of the device main body is fixedly connected with a test port, and the device main body is internally provided with an adjusting cavity; a resistance tube is arranged between the top and the bottom of the inner wall of the adjusting cavity, and through the arrangement of a lifting assembly, a connecting assembly, a linkage transmission assembly, a T-shaped block, an equidistant adjusting assembly, an isosceles trapezoid block and a touch button, the defect that a continuous voltage adjusting mode is difficult to adapt to a standardized test process in the prior art is effectively overcome; according to the invention, the distance between the plurality of isosceles trapezoid blocks is adjusted through the equidistant adjusting assembly, thereby achieving the flexible presetting of the test voltage gradient, meeting the different demands of different transformers for the test step length, thoroughly eliminating the uncertainty caused by manual operation, and remarkably improving the standardization and intelligentization level of the test.

The invention discloses an urban underground comprehensive pipe gallery power cable operation state monitoring method, which comprises the following steps: step 1, in a selected comprehensive pipe gallery, using a sensor to collect a high-frequency pulse current signal of partial discharge during cable operation, and combining the high-frequency pulse current signal with corresponding time sequence information to generate partial discharge spectrum TRPD data; step 2, performing one-dimensional processing and normalization processing on the TRPD data based on a 1D-CNN convolutional network, dividing a training set and a test set, performing data enhancement on sample data of the training set, and expanding an initial training set; step 3, establishing a 1D-CNN model, and training the 1D-CNN network based on the training set after data enhancement; and 4, taking the normalized test data as the input of the 1D-CNN network model, carrying out cable operation state monitoring, and outputting a monitoring result. The operation state of the cable is monitored based on the one-dimensional convolutional neural network, and the monitoring efficiency is improved.

The embodiment of the invention discloses an automatic correction method and system for a test process of a pumped storage power station. The method comprises the steps that a digital power station equipment model is constructed, and an equipment relation topological graph and a performance parameter set are obtained; establishing a control logic rule base based on the equipment relation topological graph and the performance parameter set; constructing a preset security boundary system based on the control logic rule base and the security operation standard; testing steps of the testing process document are converted into structured testing sequence data, and standardized testing process description is obtained; aiming at the standardized test process description, the control logic rule base and the preset security boundary system, performing logic conflict identification to obtain a conflict detection result set; and generating multiple sets of candidate correction schemes based on the conflict detection result set and the test coverage rate requirement. The method can solve the problem that in the prior art, a test process lacks dynamic adaptive capacity, intelligent conflict recognition and automatic correction capacity.

This invention discloses an automated testing method, apparatus, device, and medium for application programming interfaces (APIs), relating to the field of software testing technology. The method includes: connecting to an API documentation platform, parsing API association information, and generating basic test case templates; processing the basic test case templates to form a standardized test case set, and generating a parameterized test dataset matching the standardized test case set; loading the parameterized test dataset and the standardized test case set using a test execution engine, executing automated API testing, and collecting various test data generated during the testing process; analyzing and processing the various test data to obtain test analysis results, and generating a visual test report based on the test analysis results and pushing it to a preset channel. This technical solution can automate API testing and improve testing efficiency.

The invention relates to the technical field of industrial robots, in particular to a speed reducer performance comparison test method applied to a humanoid robot. According to the method, motion information and task description information of an execution mechanism are obtained, and a multi-working-condition test sequence is constructed based on the motion information and the task description information; based on the multi-working-condition test sequence, the speed reducer to be tested is controlled to perform working condition replay, and multi-source operation data corresponding to the multi-working-condition test sequence is acquired in the working condition replay process; performing time reference alignment and measurement calibration processing on the multi-source operation data to obtain standardized test data; performing data preprocessing and feature calculation based on the standardized test data to obtain a unified index set; and performing normalization processing and statistical comparative analysis on the unified index set to obtain a comparative evaluation result of the speed reducer to be tested.

The invention specifically relates to a method for testing and evaluating the aging performance of a metal oxide resistor disc, and relates to the technical field of performance evaluation of metal oxide resistor discs, and the method comprises the following steps: respectively obtaining a macro-loss value and a micro-loss value after macroscopic and microscopic analysis of a sample, carrying out normalization processing on the macro-loss value and the micro-loss value, and calculating the aging performance of the metal oxide resistor disc; a failure mechanism coefficient is obtained after weighted summation calculation, and a corresponding quality grade is matched based on the failure mechanism coefficient. The method comprises the following steps: constructing a digital twin baseline fusing electricity, a microstructure and thermal characteristics; electrical parameters such as a volt-ampere characteristic curve and a nonlinear coefficient are accurately obtained through standardized testing, microscopic data such as grain morphology and element distribution and thermal characteristic data such as steady-state temperature rise and temperature uniformity are analyzed, and a multi-dimensional reference system is formed; and an accurate reference is provided for aging comparison, and evaluation is ensured to be changed from single-parameter judgment to multi-dimensional comprehensive analysis.

This invention discloses a continuous integration testing method, system, and storage medium driven by submission flags, relating to the field of continuous integration testing technology. The method includes: acquiring code push events, extracting submission description information, and scanning flags; if a registration class flag is detected, automatically parsing the test project name, inferring the test type, retrieving the project path, and writing the project information into a test case library; if a test type flag is detected, selecting the corresponding type of test project, compiling it, and writing back the build status; then selecting projects with a passed build status, parsing standardized test results, and writing back the test status; finally, traversing the test case library, and based on the responsible person identifier mapping relationship, instantly mentioning the responsible person to the failed project submitter's identifier. This invention achieves a fully automated closed loop of test triggering and code submission strong binding, selective test type scheduling, and precise targeted notification of the responsible person for failures.

The invention discloses a voice interaction test method and device based on kitchen and bath environment intelligent household electrical appliances, and a medium. The method comprises the following steps: acquiring original environment acoustic characteristic data; constructing an environmental acoustic model according to the original environmental acoustic characteristic data to obtain the environmental acoustic model; adjusting test parameters of the test robot based on the environmental acoustic model to enable the test robot and the to-be-tested voice interaction device to perform voice interaction test to obtain an original test result; performing environment compensation and normalization processing on the original test result to obtain a standardized test result; and generating a standardized performance report according to the standardized test result. According to the embodiment of the invention, the test result can be ensured to have readability and consistency, and a reliable and objective performance evaluation basis is provided for the voice interaction technology of kitchen and bath intelligent household appliances.

The invention relates to a configurable NPU general test framework and test method, electronic equipment and a storage medium. The method comprises the following steps that: an application layer receives a user test demand analysis configuration file, and initializes a scheduling module, a log module and a performance statistics module of a core framework; the hardware layer provides a software development kit SDK of neural network processor NPU hardware; the adaptation layer selects to dynamically load a manufacturer adaptation library according to configuration information analyzed by a user test requirement, and calls a hardware initialization interface of the hardware layer; and the core framework layer carries out common logic testing according to task demand analysis. According to the invention, through parameterization demand configuration, generalization module packaging and differentiation interface adaptation test methods, the problem of existing NPU test pain points is solved; a standardized test process is provided, bottom layer hardware differences are shielded, the method can be applied to NPU hardware tests in numerous scenes, test cost is reduced, adaptation efficiency is improved, unification of test standards is achieved, and NPU test efficiency and compatibility in complicated scenes are remarkably improved.

The invention relates to a test method and device based on multiple programming languages, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a test case file from a configuration file through a test framework, and determining a test command according to the test case file; standardizing the test command based on a unified interface protocol to obtain a standardized test command; sending the standardized test command to a software development kit adapter of at least two programming languages; wherein the software development kit adapter is configured and completed in advance; responding to the standardized test command through a software development kit adapter of each programming language to obtain a standardized response result; and performing verification and consistency comparison on each standardized response result through a test framework to obtain a result report. By adopting the method, the consistency of the behavior and the result of the multi-language SDK can be ensured, and the delivery quality of the multi-language SDK is improved.

This training device (10) is provided with a control unit (11) that: generates and updates a prediction model (70) by executing machine learning by using normalized training data (21); calculates a prediction error (50) of the prediction model (70) by using normalized test data (22) each time machine learning is executed; and ends machine learning and outputs the prediction model (70) even if a predetermined learning end condition is not satisfied when it is determined that the difference between a scale-dependent target error (40), which is a normalized target error, and the calculated prediction error (50) is less than a threshold value (60).

The invention discloses an aero-engine test data processing and analysis system. The system comprises a data acquisition unit, a data processing unit, a data analysis unit and a data output unit. The method comprises the following steps: accessing a container mirror image storage library of a product library, and obtaining mirror image data of the software product; and the data acquisition unit is used for acquiring the corresponding test original data and importing the acquired test original data into the data processing unit for processing and warehousing. And the data processing unit is used for normalizing the collected test original data and importing the normalized test original data into a database for storage according to a time sequence storage mode. And the data analysis unit is used for performing data analysis on the test original data stored in the database to generate a test data analysis result and a corresponding data analysis report. And the data output unit is used for exporting all the original test data stored in the database and exporting a test data analysis result and a corresponding data analysis report.

The invention provides a test method, a test device and test equipment of an industrial personal computer, and relates to the technical field of industrial personal computer test.The test method of the industrial personal computer comprises the steps that a test instruction is responded, corresponding test firmware is burnt into a control panel, and under the condition that firmware burning is completed, single-board testing is executed; after the execution of the single board test is finished, entering a computer control system to carry out complete machine test, and generating a corresponding test report; and under the condition that the test report is normal, closing the test parameters through the controller version package, and upgrading the service firmware of the control panel. According to the method, firmware burning, multi-system complete machine testing and business firmware upgrading are realized through the automatic testing process, and the problems of low manual testing efficiency and insufficient standardization are solved, so that the testing efficiency is improved, the standardized testing process is realized, the consistency and accuracy of testing results are ensured, and the yield of the industrial personal computer is improved.

The application discloses a kind of integrated bipolar plate comprehensive performance standardization test method and system, the test method includes: to the same batch integrated bipolar plate sample, in turn simulate with pressure surface resistance test, dynamic resistance liquid performance test, flow resistance test and electrochemical activity test, obtain multiple performance parameters;According to the preset evaluation model, multiple performance parameters are normalized and weighted fusion, and the comprehensive performance index and quality grade of sample are obtained.A set of special standardization sub-test method system for flow battery bipolar plate is established, and the test method realizes the comprehensive, accurate and traceable evaluation of bipolar plate performance through unified sample pretreatment, interrelated test conditions and standardized data fusion evaluation model.

The invention provides an automatic test system based on intelligent scene recognition, which comprises a standardized test case library, and a unified test case library is established; testing a scene classification analysis model, establishing a test scene classification model, analyzing system application scene features of the to-be-tested equipment through data on the equipment, and training the scene classification model for reasoning an application scene of the subsequent to-be-tested equipment; and the automatic test platform is used for scheduling and arranging test cases to be executed on the test equipment, dynamically downloading and executing, collecting test execution results and analyzing the test execution results. According to the invention, intelligent arrangement, dynamic downloading and executing and execution result analysis of the test cases are realized according to different test scenes; the automation, precision and reusability of the test work are improved, and the overall efficiency of the test work of a large number of heterogeneous edge-end side equipment systems in the power industry is improved.

The application discloses a gas film flow field pressure testing device and particularly relates to the technical field of gas bearing detection, comprising a rack, wherein a testing assembly is arranged on the rack; the testing assembly comprises a testing table arranged on the rack; two bases are arranged at the bottom of the inner cavity of the testing table; and a pressurizing block for testing a test piece is arranged at the two ends of each base. The application can flexibly adapt to gas bearing test pieces with different outer diameters and different groove parameters by adjusting the deflection angle of the hinge piece through the lead screw, cooperating with the arc-shaped constraint groove of the pressurizing block and the self-resetting structure. The adaptability not only relies on the standardized testing logic formed through collaborative research and development, but also in turn enables the testing capacity of precise data and panoramic working conditions to cover more application scenarios, forming the closed-loop advantages of precision, comprehensiveness, efficiency and practicality, and significantly improving the industrial application value of the device.

The invention relates to the technical field of drilling box testing, and discloses a drilling box testing platform and a testing system thereof, and the drilling box testing platform comprises a drilling box testing platform and special industrial equipment for testing, verifying and evaluating the performance of a drilling box; the control and acquisition unit comprises an industrial computer and a rotating speed and torque power acquisition instrument; the sensor group is used for collecting physical parameters in the testing process and at least comprises a rotating speed and torque sensor, a flow sensor, a pressure sensor and a temperature sensor; and the program control load unit comprises a program control loading power supply and an eddy current brake and is used for applying an adjustable load to the drilling box test platform according to the control instruction. According to the drilling box test platform and the test system thereof, standardization test and simulation test are organically combined, so that instant performance parameters of the drilling box under a specific working condition can be obtained, and a prediction model can be constructed based on historical data and field return visit information; therefore, prospective evaluation is carried out on the long-term operation reliability and durability of the drilling box.