496 results about "Dynamic testing" patented technology

The invention relates to the technical field of semiconductor device testing, in particular to a SiC MOSFET power cycle testing method which comprises the following steps: S1, building a composite environment testing platform, configuring dynamic testing parameters, automatically calculating a physical boundary and collecting sensor data in real time; s2, establishing a finite element simulation model based on the physical boundary and sensor data, and outputting optimized dynamic test parameters and a simulated stress distribution diagram; s3, synchronously applying composite stress according to the dynamic test parameters and the stress distribution diagram, and collecting multi-dimensional test data in real time; when the system is used, through dynamic boundary calculation and real-time data acquisition, the intelligent degree and reliability of the test are improved, the test period is shortened, the failure prediction accuracy is improved, the system is suitable for reliability evaluation of SiC MOSFET devices in the fields of new energy, aerospace and the like, a large number of physical tests are avoided through virtual simulation, and the reliability of the SiC MOSFET devices is improved. And reduction of device loss and resource waste is facilitated.

The invention relates to the technical field of simulation, and particularly discloses a real-time simulation method for detecting photoelectric tracking equipment, which comprises the following steps of: performing feature decoupling processing on photoelectric signals through a dual-channel adaptive neural network architecture, and constructing an equipment mathematical model by adopting a dynamic gating fusion mechanism based on a processing result; the method comprises the following steps: establishing a multi-physics field coupling simulation environment based on a heterogeneous computing architecture, introducing an equipment mathematical model, performing three-field co-evolution through light transmission modeling, electromagnetic field distribution calculation and target motion prediction, and generating a dynamic test scene containing space-time relevance; according to the method, a mode of combining mixed feature analysis and fuzzy reasoning is adopted, multi-dimensional performance indexes are extracted from simulation data, and multi-target dynamic optimization is carried out through a strategy of combining a quantum evolution algorithm and swarm intelligence optimization; by means of a digital twin platform and a hardware-in-loop interface, real-time verification and closed-loop optimization are achieved, and the response speed and tracking precision of photoelectric tracking equipment in a complex environment are greatly improved.

The invention relates to the technical field of thermal equipment operation state dynamic test and compensation control, in particular to an AI-based boiler air pre-heater temperature uniformity regulation and control system, which comprises a collaborative closed-loop control network of a data acquisition module, an AI prediction module, a heat storage system control module, a temperature compensation control module and a thermal stress analysis module. The data acquisition module acquires flue gas temperature, coal quality parameters and load instructions in real time, the flue gas temperature, the coal quality parameters and the load instructions are transmitted to the AI prediction module through an industrial bus, XGBoost, LightGBM and a deep neural network model are used for carrying out spatial-temporal feature extraction on the evolution trend of a temperature field, and the heat storage system control module dynamically switches heat storage and release modes according to the load state. The heat distribution proportion among the multiple units is adjusted by combining the three-dimensional stress field distribution data of the thermal stress analysis module; the bottleneck of lack of thermal inertia regulation of an existing system is broken through, dynamic balance of a temperature field under the condition that thermal stress of a heat transfer element is controllable is achieved, and the heat exchange efficiency and operation stability of the air pre-heater are improved.

The invention belongs to the technical field of multi-modal learning, and discloses an operating system security evaluation system and method based on multi-modal learning and deep learning technology, the system uses the multi-modal learning technology, integrates vulnerability description, code structure and runtime data, extracts cross-modal features through a deep learning model, and constructs a unified evaluation framework. The system firstly collects vulnerability data from databases such as CVE, NVD and the like, and forms multi-dimensional input in combination with a calling path generated by static analysis and a running log of dynamic test. Secondly, predicting the availability and risk degree of the vulnerabilities through a multi-modal fusion network, and generating a comprehensive risk score; and finally, outputting a visual report by the system, and clearly displaying risk distribution and priority. Potential and actual security threats of the operating system are comprehensively evaluated, and the accuracy and reliability of evaluation are improved.

The invention relates to the technical field of edge computing, electric automobile testing and the like, and provides an electric automobile instrument testing method based on end-cloud collaboration, which comprises the following steps of: constructing a lightweight virtualized resource isolation environment at an edge computing node, loading signal generation, communication agency and state monitoring micro-service; a test platform with elastic capacity expansion and contraction and fault self-recovery capability is formed; historical test data are collected at a cloud end, and an equipment health degree prediction model is trained and deployed to an edge node to support a local intelligent test; constructing a dynamic test service chain, generating and pre-distorting and compensating an enhanced test signal, and then acting the enhanced test signal on the instrument; through multi-modal signal acquisition and unified preprocessing, in combination with wavelet packet decomposition and a deep neural network, high-dimensional feature extraction is realized, a test report containing a health trend is finally output, and a test process is actively intervened based on a trend prediction result. According to the method, the authenticity of test signals, the health assessment precision and the safety and efficiency of the test process are effectively improved.

The invention discloses an automatic test case generation method and system based on a large model, and the method comprises the steps: multi-modal data fusion: receiving a natural language demand, a UML design drawing, an API document, a historical defect log and system monitoring data, aligning text and image features through a CLIP model, analyzing the interface constraint through CodeBERT, and carrying out the multi-modal data fusion; feature fusion is realized by adopting a cross-modal attention mechanism; a dynamic test scene modeling step: constructing an environment simulator based on reinforcement learning, and simulating high-concurrency, distributed abnormal and other complex scenes; and a layered test case generation step: generating a function test case, a boundary test case and an increment test case through GPT-4, GAN and LSTM respectively, and introducing an entropy evaluation model to quantify the effectiveness of the cases. According to the method, the multi-modal data is brought into the test case generation process for the first time, the test case generation time is shortened by 80%, the complex scene coverage rate is increased to 95%, the semantic matching degree reaches 92%, and the intelligent level and efficiency of software testing are remarkably improved.

The invention discloses a multifunctional angle module test bench which is composed of a bench base, a load simulation device and a pavement simulation device. The bench base is provided with a lifting sliding column, and the height of a loading platform can be adjusted to adapt to suspension deformation; the load simulation device realizes vertical load adjustment by increasing or decreasing balancing weights; the pavement simulation device integrates a belt pulley shaft, a motor, a magnetic powder brake and a pressure oil cylinder, and simulates pavement resistance through belt rolling; during testing, the angle module body is fixed to a loading platform, tires make contact with a belt to achieve dynamic testing, a magnetic powder brake increases resistance torque for a main belt wheel shaft so as to simulate different road conditions, a motor drives the belt to test regenerative braking performance, and a pressure oil cylinder is matched with a thrust bearing to measure axial loads. The steering resistance and tire mechanical property test is completed by changing the included angle between the wheel and the belt motion direction; according to the invention, driving, braking, steering and suspension system testing functions are integrated, and multi-working-condition comprehensive performance detection is realized.

The utility model discloses a DBC automatic test workstation, which comprises a test mechanism, a movable truss and a machine table, the test mechanism comprises a first test station, a second test station and a third test station, and the first test station, the second test station and the third test station are all installed on the machine table. The two ends of the movable truss are installed on the two sides of the machine table, the moving path of the movable truss is arranged above the first testing station, the second testing station and the third testing station, the movable truss is used for testing the bonded DBC module, the equipment can integrate various testing machines, and the testing efficiency is improved. Detection items such as safety testing, static testing and dynamic testing are automatically completed according to program setting, different testing processes can be achieved by calling testing programs, meanwhile, the equipment has the function of recording and storing testing data, the testing items are flexibly configured, and the testing efficiency is remarkably improved.

The invention relates to the technical field of satellite navigation, in particular to a real-time dynamic test method for a navigation type GNSS receiver, which comprises the following steps of: reconstructing a positioning point track by using positioning data of the GNSS receiver, calculating an error by comparing an actual track, and analyzing the influence of a motion state parameter on error change; and analyzing the influence of the environmental factors on the receiver performance in combination with the environmental data, predicting the receiver performance change trend based on the error fluctuation and the stability evaluation data, and obtaining a receiver performance evaluation result. According to the method, the positioning track of the receiver is reconstructed by acquiring the positioning data of the GNSS receiver, the error of each data point is accurately calculated, the influence of the motion state parameters on the error change is analyzed, the performance of the receiver in various dynamic environments is accurately identified, and the performance of the receiver in various dynamic environments is accurately identified through the fusion of the environment data and the motion state data. And predicting the performance change trend of the receiver under various environmental conditions, and realizing accurate prediction and evaluation of the performance of the receiver in combination with the precision performance data.

The invention discloses a knowledge extraction and envelope coverage-oriented software vulnerability test method and related equipment, and the method comprises the steps: obtaining vulnerability key information of target software, and obtaining sensitive function features through defect dependence analysis and construction based on the vulnerability key information; performing semantic analysis on the analysis report and the code abstract associated with the sensitive function characteristics, screening to obtain a target sensitive function, performing path envelope reverse tracking on the target sensitive function, and constructing to obtain a target path envelope; and obtaining coverage information enveloped by the target path, and carrying out fuzzy testing on the basis of the coverage information in combination with the iteratively optimized variation sample. According to the method, through intelligent closed loop of analysis-positioning-testing-feedback-optimization, static analysis provides accurate guidance for dynamic testing, and the static analysis strategy is inversely optimized by the result of the dynamic testing, so that the maximum improvement of the testing efficiency and the vulnerability discovery accuracy is realized in limited testing resources, and the testing efficiency and the vulnerability discovery accuracy are improved. The method can be widely applied to the technical field of software security.

The invention relates to the field of software testing, in particular to a financial payment transaction testing method based on recording and playback. The method comprises the following steps: recording an interaction behavior of a user on a front-end interface, capturing back-end request and response data, generating an original operation sequence, and converting the original operation sequence into a parameterized test script; processing parameter variables in the parameterized test script through a dynamic test data generation algorithm, generating test parameters, and further obtaining a dynamic test parameter set; executing an operation instruction based on the parameterized test script and the dynamic test parameter set, and recording actual output; a verification result is generated for the test parameter based on the actual output, and an overall pass rate of the automated test is calculated. The problems that a traditional software test method depends on manual design of test cases and manual test execution, time consumption is long, efficiency is low, and key test scenes are prone to being omitted are solved; all input conditions and abnormal scenes are difficult to cover; a unified automatic process is lacked, and the test process is difficult to reuse.

The invention relates to an automatic driving intelligent safety multi-task dynamic test system based on a Carla simulation platform, and belongs to the field of artificial intelligence safety and automatic driving simulation test. The system comprises an automatic driving perception model integration and training module which comprises a multi-task data collection module, a fine tuning perception model and a compilation perception model Carla API interface; the attack and defense algorithm integration and training module is used for finely adjusting an attack and defense algorithm, writing an attack and defense algorithm Carla API (Application Program Interface) and replacing Carla object textures with an adversarial patch; and the real-time attack and defense deduction and evaluation recording module comprises a sensor for acquiring Carla real-time data, replacing textures, starting a perception model and starting an evaluation record of the success rate and the accuracy rate of defense and attack. According to the method, the robustness of the automatic driving perception model in a complex attack scene can be comprehensively evaluated, security holes of a perception system can be found in time, and the reliability and the security of an automatic driving technology in a complex environment are improved.

The invention relates to the technical field of radiator monitoring, and particularly discloses a radiator heat dissipation performance dynamic test system, which is characterized in that a heat source simulation body is arranged on a heat transfer interface of a radiator, and a high-fidelity dynamic electric power load is applied to the heat source simulation body to simulate an actual working condition; radiating a microwave detection signal to a space where the heat source simulator is located and receiving a multi-path scattering response signal; the three-dimensional dielectric constant dynamic distribution of the heat source simulation body is reconstructed by solving the inverse scattering problem fused with the space-time constraint; according to the material dielectric constant-temperature relation mapping, three-dimensional temperature field dynamic distribution is generated; and finally, intelligently identifying and extracting a migration track and a temperature change curve of the highest temperature point in the space from the continuous time sequence temperature field data, and taking the migration track and the temperature change curve as a direct evaluation basis for the dynamic heat dissipation performance of the radiator. According to the method, lossless, full-field, real-time visualization and quantitative analysis of the migration process of the dynamic hot spots in the hidden heat source are realized, and the authenticity of the dynamic heat test is improved.

The invention provides an intelligent code generation method based on collaborative arrangement of a multi-source knowledge graph and a large model, and the method comprises the steps: uniformly converting the structured and semi-structured business information of multiple sources into a knowledge graph G after conflict resolution, converting a user demand into a structured intention object, and combining with the knowledge graph G after conflict resolution, thereby achieving the intelligent code generation. The method comprises the following steps: constructing a sub-task list, cooperatively driving a plurality of large language models to generate module-level codes according to sub-tasks t in the sub-task list T and initial contexts of the sub-tasks t, performing static check, dynamic test and business consistency check on generated candidate codes O, and generating a feedback prompt F to correct a Prompt template if the detection is not successful. And calling the corrected Prompt template for iteration through a large language model to realize end-to-end automatic generation from a demand intention to front and back end codes, interface documents and deployment scripts, and ensuring generation quality and business consistency through a closed-loop mechanism of ''graph driving-semantic reasoning-check feedback''.

The invention discloses a loadable folding rudder unfolding dynamic testing device and method.The device comprises a workbench, data sampling and analyzing equipment, a control surface limiting assembly, a loading assembly, a base assembly and a transmission assembly, and the control surface limiting assembly and the base assembly are arranged on the workbench; the loading assembly, the transmission assembly and the folding rudder are arranged on the base assembly, and the folding rudder is connected with the control surface limiting assembly and the transmission assembly. The device provided by the invention can continuously monitor the motion characteristics, the unfolding time and the vibration characteristics of the folding rudder in the unfolding process. In order to restore the real working condition of the folding rudder more truly, a loading assembly used for simulating pneumatic torque is additionally arranged, and loads can be increased when the folding rudder is unfolded and tested according to needs. In addition, through simple adjustment, the device and the method can be used for testing folding rudders with different interfaces, boundary dimensions, folding directions and angles.

The invention discloses a test system and method for generating capability evaluation based on a large model, and the method comprises the steps: S1, carrying out threat modeling, and generating a test case, including classifying a threat scene and generating an automatic test case, the generation content of the test case including generation of an adversarial sample and generation of a privacy test case; s2, a multi-dimensional test is executed, the multi-dimensional test comprises a dynamic test engine and real-time defense detection, and test indexes of the dynamic test engine comprise a sensitive information leakage rate, a malicious instruction execution rate and a prejudice index; s3, performing vulnerability diagnosis, including analyzing attention weight and tracing privacy leakage; and S4, performing verification and iterative repair, including collecting vulnerability samples, performing mixed training, adjusting a loss function and performing regression testing. Through threat modeling and attack scene classification, various potential attacks can be identified and covered, test comprehensiveness is ensured, neglected potential safety hazards can be found, and test effectiveness is improved.

The invention relates to the technical field of energy testing, in particular to a self-adaptive dynamic energy testing method based on combined heat and power generation, which comprises the following steps: constructing a thermoelectric coupling transfer model and a working condition identification model, and inputting power generation power and heat supply power into the thermoelectric coupling transfer model to correct model parameters, inputting the environmental parameters into a working condition recognition model, recognizing a current working condition type based on a preset working condition feature library, calling an initial test scheme from a test scheme library according to the current working condition type, and generating a dynamic test scheme through a machine learning algorithm in combination with the parameters corrected by the thermoelectric coupling transfer model; and controlling the test equipment to execute a test based on the dynamic test scheme, collecting test data in real time, calculating a system performance index according to the test data, comparing the system performance index with a preset threshold value, and generating feedback information for adjusting the test scheme. Therefore, the problems that in the prior art, a test scheme is fixed and cannot adapt to complex working conditions, and performance evaluation is incomplete are solved.

The invention belongs to the technical field of compressor performance prediction, and particularly provides a method and system for determining a surge judgment critical value of a compressor based on multi-source data fusion. Comprising the steps that a compressor surge test system is built and operated, and a first surge critical value is calculated; obtaining multi-source historical data related to surge of the compressor, selecting characteristic variables to construct historical input vectors, and fitting the multiple regression model by using the historical input vectors to obtain a discrimination model; training the machine learning model to obtain a trained machine learning model; a real-time input vector is constructed based on data, collected in real time, of the to-be-monitored compressor, and then a second surge critical value and a third surge critical value are obtained; and fusing the first surge critical value, the second surge critical value and the third surge critical value to obtain a predicted surge critical value of the to-be-monitored compressor. According to the method, high-precision dynamic testing and historical data regression analysis are combined, and the actual value of the surge critical value is finally and quantitatively determined through multi-parameter coupling measurement and data mining.

The invention belongs to the technical field of testability design of integrated circuits, and discloses a 3D IC MBIST test method based on an intelligent algorithm, and the method comprises the steps: carrying out the isomorphic grouping through analyzing the space coordinates, hierarchical affiliation and multi-dimensional attributes of a memory; establishing a three-dimensional layout relationship based on the improved interlayer distance model; the hierarchical clustering algorithm is adopted to merge memory clusters according to spatial proximity, and a grouping architecture with the minimum controller number is constructed; a dynamic test scheduling model is established in combination with a multi-target simulated annealing algorithm, and test time is optimized under power consumption constraint through a temperature attenuation mechanism. According to the method, three-dimensional collaborative optimization is carried out on spatial layout, time sequence constraint and power consumption budget, the contradiction between area overhead and test efficiency of a traditional memory built-in self-test scheme in a 3D IC is solved, and lamination test challenges under the condition that the test temperature is limited are effectively handled; and the test economy and reliability of the heterogeneous integrated chip are obviously improved.

The invention provides a vibration acceleration monitoring point clustering optimization method and system for a satellite mechanical test, and the method comprises the steps: obtaining initial data of a frequency response function of each vibration acceleration monitoring point of a satellite through a dynamic test, carrying out the standardization and merging, and obtaining the final data of the frequency response function; dividing the vibration acceleration monitoring points with similar dynamic characteristics into a cluster by taking data correlation as a clustering distance based on a k-means clustering algorithm; classifying the clusters according to the number of the measuring points in the clusters, and determining reserved measuring points of each cluster and cutting measuring points of each cluster according to the correlation of each vibration acceleration monitoring point in each cluster; the number of the reserved measuring points is determined by calculating the redundant correlation coefficient between the cutting measuring points of each cluster and the reserved measuring points in the same cluster and the independent correlation coefficient between the reserved measuring points of each cluster, so that the information independence of the reserved measuring points and the information redundancy of the cutting measuring points are ensured, the cutting method is quantified, the measuring point cutting result is more reliable, and the measurement accuracy is improved. And the efficiency of a ground environment test link is improved.

The invention relates to the technical field of data processing, in particular to a linear motor positioning precision dynamic test and analysis method, which comprises the following steps of: controlling a linear motor to perform full-stroke reciprocating constant-speed scanning, synchronous high-frequency acquisition of positions, current instructions and speed data; resampling according to a fixed position interval space to generate forward and reverse current and speed sequences; utilizing the characteristic that the friction force directions are opposite to counteract the friction component, calculating the resistance characteristic value of each position by combining the two-way speed stability weight, and constructing a resistance topographic map; the magnetic cogging effect and the mechanical anomaly are decoupled through the space gradient and the statistical deviation, and the mechanical anomaly saliency is determined; and a current feed-forward compensation table is generated and written into a driver, and a fault is marked for a saliency threshold exceeding position, so that dynamic testing and analysis of positioning precision are realized. According to the method, the resistance component is accurately separated by combining the current algebraic operation and the bidirectional speed weight, the topographic map is constructed to decouple the tooth socket and the installation abnormity, and the dynamic test precision and the diagnosis practicability are improved.

The invention discloses a method for testing an electric power steering system assembly, and belongs to the technical field of automobile part testing. The technical problems that in an existing testing method, static and dynamic testing processes are separated, testing efficiency is low, and quantitative evaluation on key dynamic performance parameters is difficult are solved. According to the invention, a test tool comprising a simulation rack, a driving device, an encoder, a torque sensor and a data acquisition card is adopted, and a control and processing module automatically executes a continuous test process: firstly, performing a static assistance test on an assembly, and judging qualification; and if the test is qualified, the test is automatically switched to dynamic test, a torque command signal is sent to the assembly, an output shaft is driven to rotate forwards and backwards, a position and a feedback torque signal are collected, and dynamic response parameters such as a position dispersion error, power-assisted delay time and overshoot are calculated. The method is mainly used for comprehensive performance testing and quality evaluation of the electric power steering system assembly in the production manufacturing or maintenance after-sales link.

The invention discloses a real-time dynamic test optimization method for an embedded environment compiler, which belongs to the technical field of embedded systems and comprises the following steps of: acquiring and processing real-time dynamic data of the embedded environment compiler, and determining real-time dynamic characteristic data of the embedded environment compiler; building a real-time dynamic test identification model of the embedded environment compiler, analyzing the real-time dynamic characteristic data of the embedded environment compiler, automatically identifying potential defects of the embedded system, and determining a real-time dynamic test identification result of the embedded environment compiler; and formulating an embedded system optimization scheme to optimize the embedded system in time. The problems that the running test state of the embedded environment compiler cannot be dynamically monitored and analyzed, potential defects cannot be found and optimized in time, and the running efficiency of an embedded system is reduced in the prior art are solved. According to the method, the running test state of the embedded environment compiler can be dynamically monitored and analyzed, potential defects can be found and optimized in time, and the running efficiency of an embedded system is improved.

The invention discloses a method, device and equipment for diagnosing an electronic suspension system and a storage medium. The method comprises the steps that an electronic suspension system in a vehicle detects the state through a sensor and an ECU, and after it is obtained that the electronic suspension system breaks down, fault information is sent to a diagnosis server through remote transmission. Meanwhile, the electronic suspension system component with the hardware fault is replaced, and the characteristics of the replaced component are sent to the diagnosis server. And the diagnosis server generates system parameters according to the fault information and the characteristics of the replacement part and returns the system parameters to the vehicle, after the vehicle is adjusted according to the system parameters, system verification including static testing, dynamic testing and fault simulation is carried out on the electronic suspension system, and it is ensured that the performance of the suspension system is stable and reliable after the part is replaced. The diagnosis server returns the system parameters to the vehicle, it is ensured that the electronic suspension system can rapidly recover the working state after parts are replaced, and the maintenance efficiency and the user experience are improved.

The invention relates to the technical field of asteroid simulant testing, and discloses an asteroid simulant spinning process dynamic testing device and a testing method.The asteroid simulant spinning process dynamic testing device comprises a fixed table, a rotating table, a driving assembly, five telescopic assemblies and a measuring plate, the rotating table is rotationally arranged on the surface of the fixed table, and the driving assembly is arranged in the fixed table; five telescopic rods are further arranged on the surface of the rotating table, a measuring plate is arranged at the telescopic end of the telescopic assembly, and a measuring sensor facing the asteroid simulant is arranged in the measuring plate; the five telescopic assemblies and the measuring plate are arranged on the surface of the rotating table, the measuring plate corresponds to the asteroid simulant, and a measuring sensor in the measuring plate is matched, so that synchronous acquisition of three-dimensional axial dynamic deformation data and multi-dimensional measurement covering the periphery and the top of the asteroid simulant can be realized; therefore, a three-axis length and time relation curve of the simulant at different rotation rates and a time-varying curve of the flattening and elongated ellipsoid eccentricity rate are accurately obtained.

The invention discloses a tire high-speed uniformity dynamic test method, device and equipment under multi-axis excitation, and relates to the technical field of vehicles. The tire high-speed uniformity dynamic test method under multi-axis excitation comprises the steps that a tire is installed on a test bed with a rotary drum, the test bed is controlled to apply lateral excitation to the tire according to multiple lateral displacements, a high-speed uniformity dynamic test is carried out, and a first test result is obtained; according to the plurality of longitudinal slip rates, controlling the test bed to apply longitudinal excitation to the tire and perform high-speed uniformity dynamic test to obtain a second test result; according to a plurality of composite parameters obtained by combining a plurality of lateral displacements and a plurality of longitudinal slip rates in pairs, controlling the test bed to apply composite excitation to the tire and perform high-speed uniformity dynamic test to obtain a third test result; and summarizing the three test results to obtain a high-speed uniformity dynamic test result of the tire. According to the method, the high-speed uniformity performance of the tire under the complex working condition can be evaluated more comprehensively.

The invention particularly relates to an exciter virtualization-based airborne application software simulation running environment construction method, which comprises the following steps of: carrying out digital packaging on an operating system interface to realize virtualization running of an embedded real-time operating system; digitally packaging communication interfaces such as a 1553B bus, an ARINC429 bus, discrete magnitude and the like so as to reproduce real avionics communication characteristics in a virtual environment; and simulating a peripheral software and signal interaction process so as to realize virtual generation and response of the multi-source excitation signal. By constructing the simulation running environment, the dynamic test of the airborne embedded software can be carried out under the condition of no real hardware, so that the test sample space is expanded, the test coverage rate and sufficiency are improved, the design and execution efficiency of a dynamic test case is improved, repeated manual operation is reduced, the test cost of the airborne embedded software is reduced, and the test efficiency of the airborne embedded software is improved. The economic benefit is improved.

The invention relates to the technical field of automatic testing in a database management system, and provides an efficient PL / SQL database test case generation method and system, and the method comprises the steps: carrying out the static analysis of a PL / SQL source code; matching a predefined test case template according to a static analysis result, and dynamically adjusting according to PL / SQL code features to obtain the test case template; performing dynamic testing according to the test case template, executing path tracking and boundary value detection, and capturing abnormity; a test case is automatically generated in combination with static and dynamic analysis results; and executing the test case, performing deep analysis on a test result through a machine learning algorithm, and adjusting the test case through a feedback optimization mechanism according to an analysis result to obtain a final test case. According to the method, the generation efficiency and quality of the PL / SQL database test case are remarkably improved, manual intervention is reduced, the error rate is reduced, and the development period is shortened.

The invention provides a Beidou satellite navigation positioning terminal dynamic test system and method, and the system comprises a power divider which is connected with a high-precision navigation positioning antenna, and is connected with a standard global satellite navigation system high-precision positioning terminal and a tested Beidou satellite navigation positioning terminal at the same time. The signal receiving module is used for enabling the standard global satellite navigation system high-precision positioning terminal and the detected Beidou satellite navigation positioning terminal to receive consistent satellite navigation signals; the post-data resolving and processing computer is used for being connected with the standard global satellite navigation system high-precision positioning terminal and the tested Beidou satellite navigation positioning terminal and receiving and obtaining test data of the standard global satellite navigation system high-precision positioning terminal and the tested Beidou satellite navigation positioning terminal. And post-resolving processing is carried out based on the test data. The system is simple in structure, easy to deploy, reliable in test result and suitable for a dynamic test scene, and the positioning precision and the test efficiency are remarkably improved.

The invention discloses a clutch torque transmission characteristic dynamic test method, and relates to the field of clutch control, and the method comprises the steps: building a test bench, and separating a clutch, the transmission is put into a direct gear; presetting working condition parameters, wherein the working condition parameters comprise an output dynamometer target rotating speed N, an input dynamometer target rotating speed N and a clutch actuator target initial position P; obtaining a preset target torque loading strategy; according to the preset target torque loading strategy, the current position of a clutch actuator is controlled, a clutch friction pair is made to move relatively, and meanwhile test data are collected; acquiring a preset temperature threshold value; according to the test data, whether the clutch reaches a preset temperature threshold value or not is judged; if not, continuing to execute the preset target torque loading strategy; if yes, acquiring a target test position, and generating test data of the target test position; and preprocessing the test data according to the target test position test data, and generating an all-position test result.