1114 results about "Test platform" patented technology

The invention provides a performance testing method and device for a large language model and related equipment. The performance testing method comprises the steps that multiple testing platforms for testing, testing scene configuration parameters and a structured testing data set for testing are determined; on the basis of the test scene configuration parameters and the structured test data set, synchronous constraint parameters are generated and distributed to the multiple test platforms, and then a preset load generator is used for controlling the multiple test platforms to concurrently execute reasoning test tasks about the large language model; and when the test is executed, collecting multiple dimension performance indexes of each test platform in real time for data analysis, and generating a reasoning performance comparison evaluation report of the large language model in the multiple test platforms according to a data analysis result. According to the method, the cross-platform performance evaluation period is greatly shortened, and the waste of computing resources is reduced. Manual operation errors are avoided, comparability of multi-platform performance indexes is guaranteed, and more accurate and reliable multi-platform performance test results can be obtained.

The invention provides an energy efficiency optimization and predictive regulation and control method for a building electromechanical system based on digital twinning. The method comprises five layers of architectures including a physical entity layer, a data acquisition and interaction layer, a digital twinning model layer, an energy efficiency analysis and optimization layer and a predictive regulation and control layer. The dynamic digital twinborn body interacting and synchronizing with the physical electromechanical system in real time is constructed, fundamental transformation from passive lag control to prospective predictive control is achieved, a high-fidelity virtual model is used as a nondestructive testing platform, countless operation strategies can be safely and rapidly simulated and evaluated in a virtual space, and therefore accurate optimization is achieved, and the real-time dynamic digital twinborn body is obtained. The overall energy efficiency of the system is remarkably improved, the dilemma that the traditional method makes consideration and loses others is eliminated, and the leap-type improvement of the comprehensive operation quality is achieved.

The invention discloses a low-temperature CMOS carrier MFP and microscopic parameter extraction method and system, which are corresponding schemes, in the scheme, a carrier MFP extraction model for eliminating a microscopic unknown quantity is constructed by utilizing a geometric scaling rule of quasi-ballistic transport and an existing effective mobility extraction technology, and an MFP extraction model for eliminating the microscopic unknown quantity is constructed by utilizing the geometric scaling rule of quasi-ballistic transport and the existing effective mobility extraction technology; the MFP extracted by the carrier MFP extraction model is ensured to be a pure experiment observation value on the basis that effective quality, Fermi velocity and scattering time do not need to be predicted based on the self-consistency of macroscopic current and voltage data along with the change of channel length; meanwhile, on the basis, the microcosmic parameters are decoupled, so that the decoupled microcosmic parameters are extracted one by one; compared with an existing scheme, the method can be directly applied to a standard wafer-level test board in the industry, MFP distribution of hundreds of devices can be rapidly counted, and a feasible engineering scheme is provided for low-temperature process monitoring.

The invention discloses a face gear planetary transmission system dynamic uniform load test platform and test method, and belongs to the field of gear transmission, and the test platform comprises a rack, a drive motor, a step-up gear box, a face gear planetary transmission system, a magnetic powder brake, a torque sensor, a slip ring, a stress strain test system and the like. The face gear planetary transmission system comprises an input face gear, a planet wheel, a planet carrier, a fixed face gear and the like. According to the dynamic uniform load test, stress values at the tooth root of the face gear and the tooth root of the planetary gear are measured mainly through strain gauges, and the corresponding relation between the tooth root stress and the meshing force at the gear meshing point is obtained through finite element simulation. And calculating the dynamic uniform load coefficient according to the dynamic meshing force root-mean-square values and the average values obtained at the tooth roots of the face gear and the planetary gear. By testing and analyzing the dynamic uniform load coefficient, the load distribution characteristic of the face gear planetary transmission system can be accurately revealed, a scientific basis is provided for structural parameter optimization, meshing performance improvement and reliability design of the face gear planetary transmission system, and then accurate and high-performance design of the transmission system is achieved.

The invention belongs to the technical field of hydraulic test and intelligent control, and particularly discloses a hydraulic component test system integrating data acquisition and automatic data analysis functions, which comprises a physical hardware test platform, a test control software platform and a digital twinborn model of a tested component, and realizes real-time interaction through an OPC UA protocol. Model parameters are corrected on line by means of measured data, and steady state, transient state and disturbance working condition tests are automatically executed based on a working condition library; and dynamically optimizing a test sequence in a test process, skipping a redundant working condition or encrypting a critical region, and synchronously generating a structured performance report. The accuracy and consistency of test results are improved, working condition simulation signals are automatically generated, performance data are collected in real time, a comprehensive performance report is generated, manual operation is reduced, the test process optimization unit can skip redundant working conditions and refine failure boundary positioning, and the test time and cost are effectively saved.

The invention discloses a high-power and frequency-adjustable gyrotron loading test system for nuclear fusion, which relates to the technical field of nuclear fusion and comprises a 2-megawatt coaxial gyrotron with adjustable frequency of 170 / 240GHz and a loading test platform. The loading test platform comprises a gyrotron part loading system, a strong magnet system, a vacuumizing system, a power supply system, a load system, a cooling system, a monitoring and diagnosing system and a control system. The component loading system is used for precise assembly; the strong magnet system provides an adjustable strong magnetic field; the vacuumizing system maintains ultrahigh vacuum; the power supply system comprises a cathode power supply and a body power supply, and the body power supply is used as a high-voltage amplifier to realize 10kHz rapid power modulation; the cooling system provides independent active cooling; the load system simulates a real load; comprehensive detection of the monitoring and diagnosis system; and the control system realizes coordinated control and rapid protection. According to the invention, a complete solution is provided for development, test, operation and maintenance of the 2-megawatt-level and frequency-adjustable gyrotron.

A high-performance loosely coupled multi-modal data fusion system for an intelligent driving environment perception system, and on-board equipment are disclosed in the present disclosure. The data fusion system includes a fusion detection model based on a modal-specific feature interaction strategy, configured to convert LiDAR point clouds, camera images, and millimeter-wave radar point clouds into unified bird's-eye view (BEV) features and perform multi-modal fusion; and a fusion tracking model based on a cascade coupling data association strategy of motion-appearance features, configured to perform subsequent trajectory tracking and matching based on feature information of the multi-modal fusion. A VoD dataset and a K-Radar dataset are selected for training, validating, and testing comprehensive performance of the models. An inference model is accelerated by applying TensorRT, to be quantified and deployed on an on-board computing test platform.

The invention provides a test platform for a power management chip. The test platform comprises an upper computer, a control panel, a load daughter board and an instrument, the control board is configured to receive a test instruction sent by the upper computer, configure the instrument based on the test instruction, send a test signal to the load daughter board, receive a response signal sent by the load daughter board, obtain a test result based on the response signal and send the test result to the upper computer; the load daughter board is configured to bear the tested power management chip, receive the test signal sent by the control board, match the test signal to the tested power management chip, obtain a response signal output by the tested power management chip and send the response signal to the control board; wherein the load daughter board is provided with a load circuit and is configured to provide a peripheral circuit for the tested power management chip, and the control board is further configured to switch the type of the load circuit. Wherein different types of power management chips can be verified by switching the types of the load circuits on the load daughter board.

The embodiment of the invention provides a server test platform, method, device and equipment and a storage medium, an interaction analysis system of the server test platform is used for receiving to-be-tested information input by a user, performing semantic analysis on the to-be-tested information to obtain a semantic analysis result, and sending the semantic analysis result to the server test platform; the semantic analysis result is used for determining a target test to be executed on the server test platform; displaying a test result of the target test in the interactive analysis system according to a target form through the target abnormal mode and the multi-dimensional dynamic association data; the three-dimensional association model is used for extracting multi-dimensional dynamic association data about the target test in the process of executing the target test; identifying a first abnormal mode appearing in the target test through the multi-dimensional dynamic association data; the prediction analysis model is used for predicting a second abnormal mode occurring in a target test corresponding to the multi-dimensional dynamic association data; the knowledge management system is used for determining a diagnosis scheme of a test result through the knowledge graph, so that the test efficiency and the test effect are improved.

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

The invention provides a humanoid robot motion test platform, which comprises a base, a belt-type motion mechanism, a height adjusting device and a control system, and is characterized in that the height adjusting device comprises a linear driving mechanism of which the bottom is hinged to the base; the first sliding mechanism is connected with the output end of the linear driving mechanism; the second sliding mechanism is in sliding fit with the first sliding mechanism and is connected with the test platform; and the brake mechanism is used for limiting relative movement of the two. During slope changing, the two sliding mechanisms slide relatively to automatically compensate the space horizontal displacement difference, and lateral stress interference is eliminated; the high-frequency large-load stepping impact of the robot can be effectively resisted, the step loss of the system is prevented, and the unification of smooth slope change and high-rigidity and high-precision testing is realized.

The invention provides a circuit board high-frequency characteristic detection analysis method and system based on a stub test platform, and the method comprises the steps: obtaining an S parameter of a PCB signal network based on a vector network analyzer (VNA), judging whether the signal transmission loss caused by a stub meets a detection requirement or not, and outputting the length of the stub and carrying out the TDR detection when a VNA detection result is unqualified; the size of a reflected signal of the PCB signal network is obtained based on a time domain reflectometer TDR, whether impedance change caused by a stub in a TDR curve is qualified or not is judged, and when a TDR detection result is not qualified, the specific position of the stub is output, and backdrill capacitance characteristic detection is carried out; capacitance characteristic parameters of the abnormal back drilling via hole are obtained based on back drilling capacitance characteristic detection, and the specific form of the stub is determined. The method and the system are specially used for detecting the stubs in the PCB high-density multilayer board, not only have the remarkable advantages of high precision, high speed and high reliability, but also provide solid technical support for accurate evaluation and strict quality control of product performance.

The invention relates to the technical field of power equipment testing, in particular to a high-voltage direct-current switch integrated equipment aging test platform which comprises a multi-dimensional interface adaptation module, a collaborative aging test module, an aging feature extraction module and a cyclic test control module. The multi-dimensional interface adaptation module realizes rapid access and standardization by acquiring device interface features and comparing and adjusting, cooperates with the aging test module to synchronously apply four stresses, obtains a dynamic acceleration factor quantitative acceleration effect through a coupling formula, the aging feature extraction module extracts related parameters, quantifies the degradation degree in combination with a dynamic weight formula, and finally obtains the aging test result. The cycle test control module adjusts the cycle index according to the acceleration factor and the degradation degree and in combination with the fluctuation amplitude, rapid equipment adaptation is achieved, the composite aging process can be accurately reproduced, the test process is dynamically optimized, the test standardization level, the consistency with the actual working condition and the test efficiency are remarkably improved, and the test efficiency is improved. And reliable technical support is provided for equipment aging characteristic evaluation.

The invention discloses an uninterruptible power supply full-scene test method based on multi-mode simulation, and aims to solve the problems of single test scene, deficiency of composite working conditions, poor collaboration and the like in the prior art. The method comprises the following steps: firstly, constructing a test scene model library containing a multi-mode power grid, a load and an environment simulation model; combining specifications of the UPS to be tested and a test target, selecting a model combination to generate a composite test scene, and defining a rule that parameters change along with time; then, a test platform containing a programmable simulator and a central control unit is built, and the UPS to be tested is connected; the central control unit drives the platform to carry out collaborative testing, and input, output and internal key parameters are collected in real time; and finally, quantitative indexes such as output voltage stabilization precision and THD are calculated to complete evaluation. According to the invention, multi-factor coupling scene simulation is realized, the test authenticity and precision are improved, the period is shortened, and support is provided for UPS research and development optimization and quality detection.

The invention relates to the technical field of information security, and particularly provides a JavaScript component vulnerability reachability analysis and detection system based on call link analysis, which comprises an acquisition unit, a risk assessment unit, a feature analysis unit, an analysis unit, a control unit and a self-adaptive detection unit, the system can accurately describe the operation base line of the platform in a normal state by acquiring key characteristic parameters such as the length of a historical calling link of the target platform, the execution frequency and the proportion of branch nodes, and the analyzed key characteristic characterization factors can judge the security risk tendency of the platform. And comparing the risk characteristic parameters extracted by the test platform in real time, wherein the risk characteristic parameters comprise an unverified input node proportion, an error triggering rate and a calculated risk characteristic characterization value with a preset threshold value. Through'historical data-risk quantitative analysis-standard judgment-problem tracing ', the efficiency and precision of JavaScript component vulnerability accessibility detection are improved.

The invention discloses an energy storage thermal management test platform and method, and the method comprises the steps: setting an initial environment temperature and a cooling liquid flow through a thermal environment simulation system and a liquid cooling circulation system of a full-size energy storage box, and outputting multi-region environment parameters; a simulated thermal load is generated based on the environmental parameters, the thermal load intensity is adjusted through a dynamic feedback mechanism of the central controller, and the spatial distribution uniformity is verified; under the action of thermal load, a multi-level temperature sensor array and a thermal imager are used for synchronously collecting the three-dimensional temperature of a battery pack, the temperature difference between an inlet and an outlet of cooling liquid and flow data, and a space-time correlation data set with heat flow density mapping is constructed; reconstructing three-dimensional thermal field distribution by adopting a spatial interpolation algorithm based on the data set, calculating a temperature rise rate and a heat dissipation energy efficiency ratio, and outputting an evaluation result containing a thermal field uniformity index; the environment temperature and thermal load parameters are optimized through multi-cycle iteration, and dual improvement of the testing efficiency and the energy efficiency evaluation precision is achieved. According to the invention, the test problem of environment-load dynamic coupling can be effectively solved.

The invention relates to the technical field of composite film strength detection, and discloses a composite film peel strength testing device which comprises a testing platform, two pulling sliding plates slidably mounted in the two extending parts respectively and capable of being synchronously and mutually close to or away from each other for adjustment, and the two pulling sliding plates are arranged on the testing platform. The opposite ends of the two pulling sliding plates are each provided with a clamp used for clamping a single-layer film of a composite film separation section. The clamping assembly is arranged in the test platform and is used for clamping and limiting the fitting section of the composite membrane and enabling the separation section and the fitting section of the composite membrane to form a Y-shaped state; and two groups of test assemblies. Through the Y-shaped constant-angle stripping design, the stripping surface of the composite film is uniquely locked, the stripping angle is kept unchanged in the whole testing process, and the effects that stripping cracks are stably limited to a specified unique interface, crack initiation is controllable and deviation is avoided are achieved.

The invention discloses a new energy high-voltage direct current protection device comprehensive test platform, and relates to the technical field of new energy high-voltage direct current system core protection device test, and the platform comprises a power supply and energy storage module which is used for converting a 380V alternating current into a stable and adjustable direct current and storing the stable and adjustable direct current as an energy source required by a high-voltage large-current test, different test voltage requirements are met through series-parallel topology switching; and the power control and load simulation module is used for controlling on-off and adjustment of current in the test loop. By adopting the modular combination design of the super-capacitor energy storage unit, the adjustable pulse inductor and the load module, the comprehensive compatibility of high-voltage direct-current protection devices such as a relay and a fuse in various test scenes such as short circuit resistance, electric service life and limit on-off is realized, meanwhile, the system can work only by being powered by a conventional 380Vac laboratory, and the test efficiency is greatly improved. The method does not depend on an industrial high-voltage power grid or a special transformer, greatly reduces the equipment deployment threshold, and improves the test response efficiency.

The invention discloses a software and hardware co-simulation field recovery method and device, equipment and a medium. Comprising the steps of defining a recording starting point and a storage time point of a simulation site; from the recording starting point to the storage time point, capturing transaction flow and causal metadata from the hardware simulation environment of the simulation site to the software test platform, and meanwhile, storing a state snapshot of the verified design in the hardware simulation environment; and when a recovery instruction is received, performing simulation field recovery based on the transaction flow, the causal metadata and the state snapshot. By defining the time range of data capture, a clear boundary is delimited for subsequent data storage, and pertinence and integrity of data records are ensured. A basis is provided for semantic reconstruction of a software test platform by capturing a transaction flow and causal metadata, a state snapshot ensures that the verified design hardware state can be accurately restored, and complete storage of recovery data on the two sides of software and hardware is achieved. And the system does not need to be restarted from the starting point during recovery, so that a redundancy initialization process is avoided, and the simulation debugging efficiency is improved.

The invention relates to a development type single-phase earth fault real-model test device and a control method, the development type single-phase earth fault real-model test device is connected in a whole power grid and comprises a fault intelligent generation module, and the fault intelligent generation module comprises a dynamic resistance simulation unit and an intelligent switching control system. And the intelligent switching control system is used for controlling the access resistance value and the access time of the resistor in the dynamic resistance simulation unit. The dynamic resistance simulation unit structure is of a three-level resistance topology and is combined with a mixed switching matrix of a vacuum relay and a solid-state relay. The intelligent switching control system is used for realizing the switching of the resistor at a current zero crossing point, the intelligent switching control system comprises a low-power-consumption control circuit and a signal acquisition circuit, the structure is matched with the control method, the continuous or step dynamic change of the grounding resistor can be accurately simulated, the problem of transient impact in the resistor switching process is solved, and the stability of the grounding resistor is improved. And a standardized and quantifiable test platform is provided for performance assessment of power distribution network fault handling equipment.

The invention provides an engine in-the-loop semi-physical simulation test platform for a hybrid electric vehicle, which relates to the technical field of automobile engine testing and comprises a real-time virtual simulation platform and an engine transient test platform. The real-time virtual simulation platform comprises a driver model module, an energy management strategy module, a power assembly module, a vehicle dynamics module and an exhaust temperature control module. The driver model module carries out data calculation according to the output of the vehicle dynamics module, a vehicle dynamics model calculates a dynamics state threshold value, and energy management is carried out through the energy management strategy module; the engine transient test platform comprises an engine controller, a high-dynamic electric dynamometer, a dynamometer control system, an engine, a post-processing system, an emission detection system and a post-processing temperature control system. According to the platform, a real engine pedestal, a digital hybrid power whole vehicle model and a rapid prototype controller are deeply integrated, so that the model reusability is improved.

The embodiment of the invention provides a humanoid robot testing method and related equipment, and belongs to the technical field of humanoid robots, the method is applied to a cloud platform, and the method comprises the following steps: receiving historical operation related parameters uploaded by a plurality of robot terminals; calculating according to the historical operation related parameters uploaded by the plurality of robot terminals to obtain a plurality of scene working conditions and working condition information corresponding to each scene working condition, and constructing a scene working condition database; receiving test request information of a test platform; and determining output data based on the test request information and the scene working condition database, and sending the output data to a test platform to test the to-be-tested robot. According to the method, the scene working condition database is constructed based on the robot interconnection data, the test scene working condition can be automatically designed, and the test related data can be output to test the robot, so that the test effectiveness of the humanoid robot is improved.

The invention belongs to the technical field of network security, and particularly relates to a network security penetration test platform which comprises a data acquisition layer, a data analysis layer, a vulnerability utilization layer, a report generation layer and a user interaction layer. And comprehensive penetration testing of network security in a supply chain attack scene is realized. Potential vulnerabilities of all links of the supply chain can be accurately mined, real attack evaluation vulnerability is simulated, a targeted security protection scheme is provided for enterprises, the security protection capability of the enterprise supply chain network is effectively improved, and the problems that an existing penetration test platform is insufficient in supply chain attack coverage, low in vulnerability mining efficiency and the like are solved.

The invention provides a multi-working-condition fault diagnosis test platform for a hoisting mechanism of hoisting machinery, and belongs to the technical field of fault diagnosis test platforms. The system comprises a hardware device, a data sensing and collecting device and a test working condition setting device. The hardware device is mainly composed of a bottom layer truss, a walking mechanism, a hoisting mechanism and a control device. The data sensing and collecting device supports multi-sensor data to synchronously collect multi-source fault data, the sensor collected data are uploaded to the database through the data collector and the intelligent gateway, and the upper computer extracts the data from the database and diagnoses faults and is used for achieving fault type recognition and early warning; the test working condition setting comprises lifting motor fault type setting, load working condition setting and lifting motor rotation frequency setting. According to the invention, the actual working condition of the hoisting mechanism of the hoisting machine can be better simulated, the acquisition cost of fault data is reduced, the test period of multi-working-condition faults of the hoisting mechanism is shortened, and the fault identification efficiency of the hoisting mechanism of the bridge erecting machine is greatly improved.

The invention provides a data bidirectional interaction method and system based on an upper computer and a test platform, and relates to the technical field of industrial automation, and the method comprises the steps: obtaining the capability description information of the test platform through the upper computer to construct a protocol adaptation rule, transmitting a test instruction with an identifier, receiving test data with a traceability sequence and state feedback, and transmitting the test data to the upper computer; the instruction sending frequency is dynamically adjusted according to state feedback, the dependency graph is constructed based on the traceability sequence, the weight is distributed, and the root cause node is determined through weight propagation and sub-graph matching, so that rapid positioning and optimization adjustment of test abnormity are realized, and the test efficiency and accuracy are improved.

The invention discloses an automatic test method and test platform based on cloud computing, and belongs to the technical field of software testing, and the method comprises the steps: firstly constructing a dynamic elastic resource pool containing a virtualized test node cluster, a tool chain and a distributed data warehouse; after obtaining a performance test request, analyzing data to screen an optimal node combination and tool configuration, and generating a test case set covering a boundary scene and an abnormal path in combination with historical data and reinforcement learning; using an improved genetic algorithm and a load prediction model to disassemble the subtasks and intelligently distributing the subtasks; the progress is tracked in real time through a digital twinborn model, abnormity is recognized, and a multi-stage processing mechanism is activated; and after the test is finished, normalizing the processed data, and generating a panoramic report by means of the analysis model. According to the method, the intelligent level, the execution efficiency, the resource elasticity and the exception handling capacity of automatic testing are improved, and the high-performance testing requirement in a complex scene can be met.

The invention relates to the technical field of automobile intelligent driving, in particular to an intelligent network connection automobile digital twinning evaluation method and system for extreme scenes. The evaluation method comprises the following steps: constructing a knowledge graph; generating an extreme scene; the automatic driving system is tested in a virtual environment generated by the digital twin test platform based on an extreme scene; predicting a safety risk score in real time, and if the safety risk score exceeds a safety threshold, sending an intervention instruction to the digital twin test platform; performing anomaly detection on the full-quantity test log, deriving a scene and injecting the scene into a scene library if a performance inflection point is found; and calculating a root cause based on the weight vector, the system fault cause and effect graph and the test data, and generating a diagnosis result. According to the method, extreme scenes can be covered, the system can be scored from multiple dimensions, the performance bottleneck can be accurately positioned, and the closed loop of the test scene can be realized. According to the system, two-way closed loop and common evolution of physical test data and a virtual test environment are realized through a cloud side end architecture, and continuous synchronization and two-way interaction with real world data are realized.

The invention particularly relates to a password security management method applied to industrial security, which relates to the technical field of industrial control system security, and comprises the following steps of: deploying password strategies in batches in an arranged controlled simulation environment, triggering test case execution according to priorities, and monitoring system response data to obtain a test result; wherein in the test case execution process, whether the obtained execution success rate is correct or not needs to be judged through the verification error coefficient obtained through analysis. According to the invention, an isolation simulation test platform highly consistent with a real production environment is established, an HMI / operator station, a PLC / DCS controller and an industrial network structure are accurately duplicated in combination with a digital twinning technology, and a test process and the production environment are completely isolated; serious consequences, such as automatic process interruption and production line stop, possibly caused by password strategy change testing are avoided from the source.

The invention provides an interference injection system for an automobile driving test, which comprises a test platform, an uphill plate, a downhill plate, a light-transmitting plate and an identification arrangement mechanism, and is characterized in that the identification arrangement mechanism comprises a lifting plate, an electric push rod, magnetorheological fluid, an electromagnetic coil, a reserve adjusting mechanism and a main control unit; and the main control unit can control the electromagnetic coils at different positions in the lifting plate to be electrified through the upper part of the light-transmitting plate, and the road sign is formed after the magnetorheological fluid at the upper part is gathered through the generated magnetic field, so that the identification capability of the automobile on the road sign can be tested, and the main control unit can test the identification capability of the automobile on the road sign by regulating and controlling the electrification of the electromagnetic coils. According to the invention, instantaneous switching of road sign interference is realized, and after the storage amount of the magnetorheological fluid is adjusted through the storage amount adjusting mechanism, the color of the road sign can be lightened when the road sign is generated, and the road sign worn by an external environment on a real road can be simulated, so that the performance of an automobile can be tested in an omnibearing manner.

The invention discloses an electric power information system safety test system and method, and the system comprises a test management scheduling platform, a multi-level test execution engine, a real-time lossless collection and monitoring module, an intelligent analysis and decision engine, a digital twin simulation test platform, and a system self-protection and toughness evaluation module. According to the security test system and method for the electric power information system, all-around and deep security coverage of the electric power information system is realized, the breadth and depth of vulnerability discovery are remarkably improved, meanwhile, a real-time security test with lossless business is realized, high continuity and high availability of electric power production business are guaranteed, and secondly, the security of the electric power information system is improved. The intelligent and automatic testing process is realized, and the testing efficiency and the accurate decision-making capability of safety management are greatly improved.