3326 results about "Test efficiency" patented technology

The invention relates to the field of computer systems, in particular to an operation stability testing method and system oriented to a heterogeneous computing system, and the method comprises the steps: constructing a system overall operation logic model comprising a resource topological structure, a task scheduling rule and a communication link matrix; identifying a key communication path according to the communication link matrix, analyzing a resource competition hotspot in combination with a task scheduling rule, and establishing an interference model library; calling a specific model instance in the interference model library according to a test target, configuring injection parameters, and dynamically applying interference in a system operation process; key performance indexes in the system operation process are collected in real time; based on the real-time monitoring data, a multi-index weighted scoring algorithm is adopted to calculate an overall stability coefficient, a robustness grade and a self-healing capability index of the system, and a stability evaluation result is generated; and generating a visual report according to the topological structure of the operation logic model, and supporting comparison and analysis of historical versions. Unified centralized management is realized, and test efficiency and evaluation accuracy are improved.

The invention provides a DFT test task management method and device, electronic equipment and a storage medium, and belongs to the technical field of chip design verifier.The DFT test task management method comprises the steps that a data model is constructed on the basis of a design module list and a test step list, the data model is used for indicating testability design DFT test steps of all design modules, and the test steps of all the design modules are stored in the test step list; the data model comprises a plurality of DFT test tasks, attributes of each DFT test task comprise a selection state, and the selection state comprises a selected state and a non-selected state; based on the interactive input, determining at least one DFT test task of which the selection state is selected as an executable DFT regression object; and according to the DFT regression object, driving a DFT test task to be executed. According to the method, the DFT test tasks are normalized through the data model, only the DFT test tasks need to be selected for making the test plan, efficient management of the DFT test tasks is achieved, and the regression test efficiency is improved.

The invention relates to the technical field of wind power, in particular to a dynamic response test method for a wind power variable pitch system. Comprising the steps of building a high-fidelity digital twinborn model, performing virtual testing and case optimization, performing physical self-adaptive testing execution, performing real-time analysis and decision-making driven by machine learning, dynamically adjusting testing stress, performing data feedback and model calibration and generating a comprehensive health report. Compared with the prior art which mainly depends on a fixed physical test process and artificial experience judgment and has the defects of low test efficiency, large resource consumption and difficulty in comprehensively covering extreme working conditions, the method innovatively introduces a high-fidelity digital twinning technology and a virtual test optimization process; according to the method, massive tests are executed in the virtual environment in a risk-free manner, and the enhanced test cases are intelligently generated, so that test forward movement and accurate optimization are realized, the pertinence and efficiency of physical tests are remarkably improved, and the test cost and period are greatly reduced.

The invention discloses an aerospace equipment data-real fusion performance test method and device based on reinforcement learning, and the device comprises a digital twin model building module which is used for building an aerospace equipment high-fidelity mechanism model fusing multi-physical field features, a lightweight digital twinborn body adaptive to reinforcement learning training is generated through a model order reduction technology; the digital twinborn model correction module is used for carrying out consistency calibration of multi-dimensional features and key physical parameter correction on the reduced-order model based on object reference data; the performance test module based on reinforcement learning actively explores a coupling scene of an extreme working condition and multiple faults in an interaction environment by constructing an attacker agent, and autonomously explores a performance boundary and a limit envelope of equipment; and the number-real fusion verification module is used for carrying out a hardware-in-the-loop point compensation test by taking the performance limit obtained by the digital test as guidance so as to assist in decision making and optimization of a test scheme. According to the method, the coverage, the safety and the test efficiency of the limit performance test of the aerospace equipment are improved.

The invention discloses a method and device for automatically generating a Java method unit test case based on AI, and the method comprises the steps: building a structured annotation specification, carrying out the automatic traversal and intelligent analysis of a Java project, extracting a method signature, a parameter type and a parameter constraint condition, constructing a test data generation model, and carrying out the automatic generation of the test case. The model is transmitted to an AI service to analyze business logic and boundary conditions, test case codes are generated, test cases are optimized and integrated to a project test directory, finally, code areas with insufficient coverage are identified through coverage rate analysis, a test completion strategy is generated, and iterative perfection of the test cases is completed. The technical problems that in the prior art, project-level automatic test case generation cannot be achieved, the generated test case cannot fully cover business logic and boundary conditions, and context relation understanding is lacked are solved, full-automatic project-level test generation is achieved, and the test efficiency and quality are improved.

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

The invention relates to the technical field of artificial intelligence and automatic testing, and particularly discloses an AI-based automatic testing method and device. The method comprises the following steps: capturing and recording complete execution historical information in a process of executing a test task by an AI agent, and serializing and storing the complete execution historical information as reusable cache data; before the test is executed, the validity of the cache is judged through a multi-dimensional verification mechanism including data integrity, timeliness, functionality and the like; when the cache verification is passed, a result is quickly obtained based on the cache data playback test process; when cache verification is not passed or execution fails, triggering an AI agent to perform new reasoning and steps to generate and update cache data; and meanwhile, a caching strategy is dynamically adjusted according to test case changes and resource conditions. The device comprises a test executor, an AI agent manager, an intelligent cache manager and a dynamic cache management module, and all the modules work cooperatively to improve the test efficiency, reduce the calling cost of a large language model and enhance the stability of a test result. The method is suitable for Web / APP automatic testing, cross-platform testing, CI / CD process testing and other scenes, the execution efficiency can be remarkably improved, the cost is reduced, and resource utilization is optimized.

The invention relates to the technical field of optical communication, and discloses an optical module adaptive test and rapid convergence method based on reinforcement learning, which can dynamically generate and execute an optimal test sequence for optical modules of different types or states through an off-line trained RL intelligent agent module, avoids redundant steps in a fixed process, and improves the test efficiency. On the premise of ensuring the test coverage, the test time is obviously shortened, and meanwhile, the detection probability of potential defects is improved; through the closed-loop test of the integrated RL intelligent agent module, the test action can be adjusted in real time according to the state of a single optical module, so that the test process can quickly adapt to the individual difference and process fluctuation of the device, the online quick convergence of the test strategy is realized, and the accuracy and stability of the test are guaranteed; and through online iterative optimization of the RL agent module, new data and new changes in the production process can be continuously learned, so that a test strategy is continuously evolved, and the optimal performance is kept for a long time.

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 belongs to the field of software testing and defect detection, focuses on reliability verification of a physical simulation engine, is suitable for scenes depending on physical simulation, such as robot simulation, automatic driving testing, unmanned aerial vehicle control, education and scientific research, and particularly relates to a variation-based physical simulation engine defect detection method. Potential defects of core modules of collision detection, mechanical calculation, dynamics and the like are efficiently found through a variation test method. According to the method, a feature library is constructed through static library API analysis and AST / IR code analysis, test code expansion is performed by utilizing a large model, a test driver adaptive to a specific data type is generated, a physical semantic constraint mutation seed is combined, a test is executed through libFuzzer, defect and coverage rate data are analyzed, a use case selection strategy is optimized, and the test efficiency is improved. Defects of core modules such as collision detection and dynamic solution are efficiently detected, and the test pertinence and efficiency are improved.

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

The invention relates to a robot full-automatic test system and method, and belongs to the technical field of robot test.The system comprises a test case management module, a voice instruction generation and sending module, a to-be-tested robot, an image acquisition module, an action monitoring module, a test result judgment module and a data storage module; all the modules cooperate to automatically operate the to-be-tested robot in the whole process, so that the test period of the to-be-tested robot is shortened, the test efficiency is improved, and the input cost is reduced.

The invention relates to the technical field of oil product detection, in particular to a full-automatic condensation point determinator and a determination method.The full-automatic condensation point determinator comprises a base and a test tube, the top of the base is fixedly connected with a mounting base, the surface of the base and the surface of the mounting base are provided with a test bath mechanism and a supporting mechanism, and the test bath mechanism enables a motor to drive a test bath to rotate; the rotation angle of the motor is controlled through a preset program, precise positioning is achieved, the tedious operation of hole-by-hole adjustment of the original structure is avoided, the rotating shaft is locked through mechanical clamping, angle deviation in the testing process is prevented, then manual adjustment is replaced by the motor and the electric push rod, and the test efficiency is improved. The double locking effect is achieved, accidental displacement can be prevented, and precision and efficiency are improved; according to the clamping mechanism, the four arc-shaped clamping plates apply uniform radial pressure through the first springs to clamp the outer wall of the test tube, the inner diameters of the clamping plates are gradually increased from top to bottom, and the clamping mechanism is compatible with test tubes with different outer diameters.

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

The invention relates to a lubricating grease porous material permeability test device, and relates to the technical field of material performance analysis, the device comprises a placing table for placing a sample, the placing table is provided with a driving device and a test seat, and the test seat is provided with a test cavity; the driving device is used for driving the testing seat to move in the direction close to the placing table so as to contain the sample into the testing cavity; a sensing device used for sensing lubricating grease below the sample is arranged on the placing table, a sealing device used for sealing the peripheral wall of the sample is arranged in the testing cavity, a conveying device used for conveying the lubricating grease to the position above the testing cavity is arranged on the placing table, and a pressurizing device used for applying pressure to the lubricating grease above the sample is arranged on the placing table. The multiple steps of sample clamping, sealing, grease injection, pressurization and detection are integrated into a coherent automatic process, the test efficiency is remarkably improved, the consistency of test conditions is ensured through mechanical positioning and automatic control, and high repeatability and high reliability of test results are ensured.

The invention discloses an automatic interlocking test method and system based on a RobotFrameWork framework, and belongs to the technical field of interlocking tests.The automatic interlocking test method comprises the steps that on the basis of a preset rule and a general test case, function logic decoupling is conducted on a test script in combination with the RobotFrameWork framework, and function keywords are obtained; obtaining a configuration file according to the interlocking function and the test data type, and performing feature extraction on the to-be-tested data and the interlocking table based on the configuration file to obtain associated test data; and according to the test requirements and the associated test data, performing testing in combination with the function keywords. The method comprises the following steps: performing function decoupling on a test script through a keyword driving characteristic of a RobotFrameWork framework to obtain a function keyword which only encapsulates single function logic, and extracting associated test data related to a test from to-be-tested data and an interlocking table through an interlocking function defined by a configuration file and a mapping rule of a data type. The technical problems that test efficiency is difficult to improve and script maintenance is difficult in the prior art are solved.

According to the cold region slope multi-field coupling effect simulation test device and method, the device is composed of a freeze-thaw environment test box, a slope model, an anchor rod axial loading system, a crack water injection assembly and a multivariate data monitoring system, and the multi-physical field coupling effect of freeze-thaw cycle, crack water permeation and long-term creep can be simulated. By dynamically adjusting the temperature gradient and graded loading parameters, data of a stress field, a temperature field and a displacement field can be collected in real time, the influence of different freeze-thaw conditions and creep drawing loads on a slope damage mechanism can be analyzed, a key test means is provided for revealing the strain rate effect, the aging deformation characteristics and the instability criterion of the slope in the cold region, and the test efficiency is improved. The method has an important guiding value for stability evaluation and disaster prevention and control of the cold region slope engineering.

The invention discloses a test case scheduling method and device, equipment, a storage medium and a computer program product, and relates to the technical field of tests.The method comprises the steps that when a to-be-executed test task sent by a user to a solid state disk is received, a to-be-executed test case contained in the to-be-executed test task is obtained; marking an execution priority corresponding to the to-be-executed test case according to the defect occurrence probability of the to-be-executed test case; querying an available test environment under the current test version and historical execution data of the to-be-executed test case; and scheduling the to-be-executed test case based on the execution priority, the available test environment and the historical execution data. According to the method, the corresponding execution priority is determined according to the defect occurrence probability of the to-be-executed test case, and then the to-be-executed test case is scheduled based on the available test environment under the current test version, the historical execution data of the to-be-executed test case and the execution priority, so that the test efficiency of a test link and the test resource utilization rate are improved.

The invention provides an AI flow chart driven test step dynamic adaptation method, device and equipment, and relates to the technical field of software testing. The AI flow chart is subjected to semantic analysis to obtain a plurality of executable operation tuples, a dynamic equipment capability library is updated in real time through technical parameters and real-time states of all the matching and testing instruments, then dynamic matching and mapping are carried out, a first mapping relation between the executable operation tuples and the matching and testing instruments is established, and the dynamic equipment capability library is updated in real time through the technical parameters and the real-time states of all the matching and testing instruments. According to the second mapping relation between the signal features and the port of the matching and testing instrument, the AI flow chart is executed based on the executable mapping scheme, automatic matching and mapping of all the testing steps in the AI flow chart are achieved, manual participation is not needed, the problem that the testing efficiency of AI flow chart driving is low is solved, and the equipment testing efficiency of AI flow chart driving is improved.

The invention discloses an embedded system integration test case multiplexing method and system, and the method is characterized in that the multiplexing of a test case is carried out based on the existing software assets: firstly, based on the existing software requirements and the test case, an existing requirement-test case tracking chain is constructed; performing demand change analysis on the new demand activity graph information; performing change influence range analysis based on a change analysis result in combination with a demand-test case tracking chain, and determining a test case reuse and generation scheme; and finally, executing the test case multiplexing and generating scheme. According to the method, the tracking relation between existing requirements and test case assets is established, meanwhile, the execution cost of downstream test tasks caused by requirement change is reduced through multiplexing, and the test efficiency of integration testing is improved.

The invention relates to an environmental test box for realizing high and low temperature rapid alternating circulation, which is mainly applied to the technical field of environmental test equipment. The test box is provided with a high-temperature chamber and a low-temperature chamber which are independent from each other, a thermal insulation layer is arranged between the two chambers, and the test box can respectively keep constant temperature environments at the highest temperature of + 75 DEG C and the lowest temperature of-50 DEG C; during a test, a sample is placed in the test bed, and the rotating shaft structure driven by the motor periodically rotates in a reciprocating manner or rotates in the same direction among different temperature zones, so that high-low temperature rapid alternating circulation is realized. The operation mode of the motor is controlled through the control system so as to simulate the accelerated aging process of the component in the temperature rapid alternating environment. According to the test box, through the design of the control system, the forced convection fan and the middle thermal insulation layer, it is guaranteed that the temperature switching process is rapid, uniform and stable. Compared with the prior art, high and low temperature circulation can be completed without overall heating and cooling of the interior of the test box, and the test box has the advantages of being high in test efficiency, capable of remarkably improving the reliability and accuracy of the high and low temperature alternating circulation test of the sample and the like.

The invention relates to the technical field of software engineering and automatic testing, in particular to an E2E scene test optimization method and system based on target man-machine cooperation. According to the scheme, an optimization target is manually set, an initial test case and a business process are input, and a test resource library is constructed; the system automatically analyzes a service path, generates a use case dependency graph and a key path, and determines a core scene through manual verification; a candidate optimization strategy is generated by the system, and a target strategy is determined through manual screening according to resources and priorities; the system carries out simplification, merging and scheduling optimization on the use cases, and deploys and executes the use cases after manual sampling verification of coverage; the system collects execution data in real time and generates an evaluation report, and whether a use case is supplemented or a strategy is adjusted is determined after manual analysis; and finally updating the resource library and the strategy model, establishing a dynamic feedback mechanism, and triggering continuous optimization during system iteration. According to the method, the E2E test efficiency and the software delivery quality are remarkably improved through man-machine cooperation and closed-loop optimization.

A heating element test board and a heating element test system are applied to the technical field of heating element test, and the heating element test board comprises a processor, a communication unit and a heating element test unit. The heating body test unit is used for being connected with a to-be-tested heating body and realizing a preset test function on the to-be-tested heating body; the communication unit is provided with a communication access end and a communication cascade end, and the communication access end is connected with the communication cascade end; the communication access end is used for being connected with a communication end of an upper computer or being connected with a communication end of a heating element test board of a previous cascade, and the communication cascade end is used for being connected with a communication end of a heating element test board of a next cascade; and the processor is respectively connected with the heating body testing unit and the communication unit. The plurality of heating element test boards can be cascaded based on the communication unit, and the plurality of cascaded heating element test boards can be connected and communicated with the upper computer, so that the test efficiency is 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 variable-shaft-diameter rolling bearing testing device and testing method, and aims to solve the problems that an existing rolling bearing testing device is difficult to adapt to bearings with different shaft diameter specifications, and a main shaft needs to be replaced frequently. The device is composed of a testing platform, a lead screw driving mechanism, an axial loading mechanism, an inner diameter variable mechanism, an outer diameter variable mechanism, a main shaft, a bearing seat mechanism, a main shaft coupler, a main shaft motor and a supporting frame. The inner diameter variable mechanism adapts to the inner diameters of different rolling bearings through a plurality of ring petals and a chuck structure, the outer diameter variable mechanism can adjust the outer diameter and the radial applied force in real time according to the outer diameter of the rolling bearing, the axial loading mechanism can apply a preset axial load to the bearing, and besides conventional constant axial force, the axial loading mechanism can also apply axial torque in different directions. The device can adapt to the testing of rolling bearings with various shaft diameter specifications without replacing the whole set of main shaft, effectively shortens the testing preparation time, and improves the testing efficiency. And the universality and the applicability are high.

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

The invention provides a function test method and device, electronic equipment and a storage medium, and is applied to the technical field of computers, the method comprises the steps that after a test instruction for indicating a to-be-tested function of a target module is obtained, a target test case corresponding to the to-be-tested function is further obtained, and the target test case can call at least one preset test sequence; the preset test sequences comprise at least one test condition required for testing the to-be-tested function, finally calling each preset test sequence through the test case, constructing a verification scene for testing the to-be-tested function based on each test condition, and completing the test of the to-be-tested function. In addition, the test conditions included in any preset test sequence have no association relationship with other test conditions except the preset test sequence, and the preset test sequences of the to-be-tested function are mutually independent and can be called according to the test requirements in the test process, so that the function test efficiency can be effectively improved.

The invention discloses a camera module test platform and test method, and relates to the technical field of camera module test.The camera module test platform comprises a workbench, a rotating table, a driving mechanism, a bearing mechanism, a detection mechanism and an adjusting mechanism, the top end of the workbench is fixedly connected with a fixing column, the rotating table is arranged outside the fixing column, the driving mechanism is arranged in the workbench, and the bearing mechanism is arranged on the rotating table; the bearing mechanism is arranged at the top end of the rotating table, the detection mechanism is arranged at the top end of the fixing column, and the adjusting mechanism is arranged in the rotating table. According to the camera module testing device, the arrangement mode that the rotating table, the driving mechanism, the bearing mechanism, the detection mechanisms and the adjusting mechanism are matched is utilized, rotation of the rotating table can be utilized, the bearing mechanism drives the camera module to pass through different types of detection mechanisms to be detected in sequence, the testing efficiency of the camera module is greatly improved, and the adjusting mechanism is arranged, so that the testing efficiency is improved. Classification can be selected for processing according to the detection result, and the detection efficiency of the camera module is further improved.

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

The invention discloses a tractor dynamic load reliability coupling test system and method, and belongs to the technical field of non-road vehicle testing. The system comprises a multi-dimensional data management platform, a tractor dynamic load reliability coupling test bench, a performance analysis platform and a data server. The multi-dimensional data management platform collects field working condition data and test data, the test bench integrates a plurality of loading systems and simulation systems such as direct-drive type driving wheels, and a plurality of functional parts of the tractor can be dynamically coupled, loaded and tested at the same time in a simulated field environment; and the performance analysis platform is connected with the data server, and evaluates the comprehensive performance and reliability of the whole tractor and the functional parts thereof through a quantitative formula. According to the invention, indoor reproduction of a field operation scene is realized, test efficiency and reliability evaluation comprehensiveness are improved, and the method is suitable for whole tractor performance test.