410 results about "Systematic testing" patented technology

The invention provides a full-link dynamic monitoring and anomaly simulation test system and method. The system comprises a cross-level I / O load simulation engine module, a multi-level collaborative fault injection module, a full-link dynamic monitoring module and an intelligent root cause analysis module. The cross-level I / O load simulation engine module is used for simulating business pressure fluctuation, the multi-level collaborative fault injection module is used for synchronously injecting configurable anomalies and realizing cross-level fault conduction, and the full-link dynamic monitoring module realizes request-level end-to-end tracking and acquires monitoring data through a distributed probe. And the intelligent root cause analysis module positions a fault root and generates a repair suggestion in combination with LSTM time sequence prediction and Bayesian causal reasoning. According to the invention, the overall performance and fault response capability of the system can be comprehensively evaluated, and the accuracy and efficiency of system testing are 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 invention relates to an airplane airborne BIT system testability verification method based on a correlation model, and the method comprises the steps: carrying out the testability modeling of an object system, and obtaining a dependency relation model which describes the relation between a fault mode of the object system and a test method of the object system; based on the dependency relationship model, obtaining a BIT theoretical fault report set of each fault mode under all test methods by utilizing reachability analysis, and deducing an optimal diagnosis fault fuzzy group; constructing a fault sample library, verifying the BIT theoretical fault report set by using samples in the library, and adjusting the dependency relationship model according to a verification result; and performing fault simulation based on the verified dependency matrix, and calculating a total fault detection rate and a fault isolation rate of the object system according to a generated fault report. According to the method, the isolation rate index of the fault can be effectively verified in the incomplete and unformed stage of the fault diagnosis strategy.

Various embodiments provide a robust backdoor attack on machine learning (ML)-based detection systems that can be applied to demonstrate and identify vulnerabilities thereof. In various embodiments, an artificial intelligence (AI)-based Trojan attack is generated and implanted inside a ML model trained for classification and / or detection tasks, and the AI-based Trojan attack can be triggered by specific inputs to manipulate the expected outputs of the ML model. Analysis of the behavior of an ML model having the AI-based Trojan implanted (and / or triggered) then enables identification of vulnerabilities of the ML model and further enables the design of ML models with improved security. Various embodiments of the present disclosure provide a fast and cost-effective solution in achieving 100% attack success rate that significantly outperforms adversarial attacks on ML models, thereby improving applicability and depth in testing ML-based detection systems.

Disclosed are systems and methods including software processes for developing test cases for testing robustness of AI-based image-recognition models-under-test (MUTs) with respect to types of image variation transformations. The system may generate various types of robustness metrics for the MUT and output user-readable reports about the MUT's performance. The system trains machine-learning architectures to generate test cases including augmented images according to the types of image transformations, applies the IR MUTs, and then evaluates the image feature vector embeddings and predicted classification produced by the IR MUTs to determine the accuracy of the MUT with respect to each type of transformation.

The invention particularly relates to an integrated simulation test system and method for a diesel engine speed regulation system, and belongs to the field of diesel engine speed regulation system testing. The system comprises a diesel engine analogue simulation module which is used for simulating and outputting the working mode of a diesel engine, responding to and entering an off-line test working mode or an on-line monitoring working mode, and providing off-line test working parameters or on-line monitoring working parameters for a diesel engine speed regulation system; and the diesel engine speed regulation system analog simulation test module is used for responding to enter an off-line test working mode or an on-line monitoring working mode and acquiring off-line test working state parameters or on-line monitoring working state parameters of the diesel engine speed regulation system in real time. According to the method, the simulation test of the diesel engine speed regulation system is carried out by using the device. The off-line test function verification of the diesel engine speed regulation system is realized, the function verification cost and risk of the diesel engine speed regulation system are reduced, the comprehensive test of the diesel engine speed regulation system is realized, and the usability and reliability of the functions of the diesel engine speed regulation system are improved.

The invention discloses a rock permeability testing system in a high-temperature and high-pressure environment and a using method thereof, and belongs to the technical field of geothermal development or coal in-situ gasification mining. The test system is composed of a stress loading system, a test kettle assembly and a magnetic particle imaging system. When in use, the stress loading system and the test kettle assembly provide conditions such as high temperature, high pressure, seepage fluid and the like for a test piece; and detecting the spatial distribution state of the nano magnetic induction particles added in the seepage fluid through a magnetic particle imaging system to observe the pore and crack distribution characteristics in the test piece or detecting the nano magnetic induction particles added in the pollutant solution to observe the pollutant migration condition. The test system is scientific in design, simple in structure and easy to operate and maintain, can monitor pore fracture distribution and pollutant migration conditions in the test piece in real time under high-temperature and high-pressure conditions, provides accurate dynamic observation data, and provides important technical support for reservoir assessment and optimization in a complex environment.

The invention relates to the technical field of semiconductor manufacturing, and discloses an integrated vacuum system test method of a mechanical arm and a vacuum test platform. A vacuum test platform which is provided with a two-stage vacuum system and a multi-channel proportional valve and is designed in a modular architecture mode is adopted for sequentially carrying out pre-installation calibration, vacuum environment simulation, positioning precision testing, vacuum adaptability testing and durability testing. The vacuum test platform is provided with a fine tuning clamping groove which is matched with the altimeter to ensure that the mounting position of the mechanical arm to be tested is accurate and the actual condition of the photoetching machine is reetched; a plurality of general standardized interfaces are also arranged, so that quick switching of to-be-tested mechanical arms of different models is realized; in the analysis stage, the three test results are analyzed, whether the performance of the mechanical arm to be tested reaches the standard or not is evaluated, the capability of integrally testing indexes such as positioning precision, vacuum adaptability and durability is achieved, external pre-debugging of the mechanical arm under the working environment of the simulated photoetching machine is achieved, and the debugging efficiency and precision are improved.

The invention relates to the technical field of material performance testing, in particular to a neat paste flow testing method and system based on multi-mode dynamic imaging. The test method comprises the following steps: collecting a continuous infrared image sequence of a neat paste free flowing process; synchronously triggering visible light supplement in a flowing initial stage, and obtaining at least one frame of visible light image; performing registration fusion on the visible light image and the infrared image at the corresponding moment to generate an enhanced image frame; extracting a neat paste contour in real time based on the enhanced image frame, and calculating dynamic parameters; according to the change trend of the dynamic parameters, the flowing stability opportunity is adaptively judged; and triggering final contour extraction at a stable opportunity, and calculating static morphological parameters and dynamic process parameters. Through the multi-modal dynamic imaging and intelligent image fusion technology, complex edge contours are accurately extracted, impurity interference is eliminated, and the measurement precision is improved.

The invention discloses a deep sea preset separable laying device simulation platform. The simulation platform mainly comprises a simulation mechanical calculation module, a three-dimensional display module, a marine environment module and an external task control module. The three-dimensional display module is responsible for creating an underwater equipment simulation model and a virtual deep sea scene model, the simulation mechanical calculation module receives an external control instruction, analyzes the instruction and substitutes the instruction into a corresponding dynamic model for calculation, and after the external task control module is started, configuration parameters are manually set, so that the underwater equipment simulation model and the virtual deep sea scene model are simulated. The control unit reads the task parameters and then generates a control instruction, and instruction information is sent to the simulation mechanical calculation module. Meanwhile, the invention further discloses a specific operation method of the simulation platform. The method has the advantages of high simulation precision, customization and multi-scene rapid migration, and provides guarantee for system testing of underwater full-process task maneuverability, safety and reliability of the deep sea device.

The invention provides a driving unit steering performance test method and device, a medium and equipment, and the method comprises the steps: building a whole vehicle simulation model based on a set verification working condition and whole vehicle information; generating a simulation result based on the whole vehicle simulation model and the verification working condition; based on the simulation result, calculating to obtain a load time domain curve on each wheel; inputting the load time domain curve into a steering performance test bench system carrying a driving unit to obtain an actual measurement result of the steering performance test bench system under the verification working condition; calculating an error rate between the simulation result and the actual measurement result; if the error rate is smaller than a preset error rate threshold value, the steering performance test bench system is adopted to test the driving unit under the test working condition, and an evaluation index is obtained; based on the evaluation index, the steering performance of the driving unit is determined, so that the steering performance of the driving unit can be accurately tested, and the consistency of test results can be ensured.

The invention discloses a power supply test method and system, a test fixture and a storage medium, and relates to the technical field of testing, and the method comprises the steps: responding to a received test instruction, generating a test control signal corresponding to the test instruction through a main controller, generating a load simulation signal according to the test power and the input voltage of the test fixture, and transmitting the load simulation signal to a test module; and in response to the load analog signal, adjusting the load of the power controller through a load analog module according to the load analog signal and a feedback signal of the load of the power controller so as to update the feedback signal until the voltage difference between the voltage value indicated by the load analog signal and the voltage value indicated by the feedback signal is within a specified voltage difference range, the problem of low accuracy of the test result of the power supply test in the prior art is solved, and the accuracy and reliability of the power supply test are improved.

The invention provides a garbage collection testing method and device, electronic equipment and a storage medium, and the method comprises the steps that a garbage collection triggering instruction from an external testing tool is received, and the garbage collection triggering instruction comprises a target identifier of to-be-collected data; in response to the garbage collection triggering instruction, starting garbage data collection operation on a data space corresponding to the target identifier; and after garbage collection is completed, a garbage collection completion signal is returned to the external test tool. By introducing a garbage collection mechanism actively triggered by an external test tool, the problems of uncontrollable test opportunity, limited scene coverage and the like caused by the fact that a traditional storage system GC test depends on internal condition triggering are effectively solved, a tester is allowed to accurately specify a target data space and trigger collection according to needs, and the test efficiency is improved. Redundant time consumption of automatic GC of a passive waiting system in a traditional method is avoided.

The invention provides a satellite-borne router network access test system and a test method thereof. The satellite-borne router network access test system comprises a constellation network node simulation platform, a performance test evaluation platform, an interface protocol conversion device, a constellation service traffic simulator and a network router digital model. Through joint simulation of the virtual nodes and the physical nodes, a simulation test platform can be provided for design and optimization of the satellite-borne router through scene simulation of a complex satellite network environment in a design stage, and the development efficiency is improved; on the other hand, in the product development and system test stage, the full-constellation operation scene can be simulated, the function and the performance of the satellite-borne router can be assessed and verified in the full-constellation scene in the ground environment, the method is particularly suitable for the low-orbit large-scale batch emission large-scale networking scene, the test coverage and the test effectiveness of the product are greatly improved, and the test cost is reduced. Development risks of insufficient verification, delayed verification time and the like before launching are effectively released, and meanwhile, the test verification cost is reduced.

The invention discloses a test system and method for an optical engine module, an evaluation board, a storage medium and a product, and relates to the technical field of communication, and the system comprises the steps: carrying out the active test and passive test of a to-be-tested transmission link which is disposed between a switching assembly and a first connector and is adjustable in electrical interconnection parameter, covering an electrical-optical full link, and carrying out the passive test of the to-be-tested transmission link; active testing is carried out on a to-be-tested transmission link under current electrical interconnection parameters through the switching component to locate a performance critical value, passive performance parameters of a target to-be-tested transmission link under a critical state are measured through the testing component, a critical failure state is accurately associated with physical layer defects, design allowance is conveniently deduced in a reverse mode, and the performance of the to-be-tested transmission link is accurately determined. The interconnection design parameters of the optical engine module are determined based on the parameters, compatibility is improved, the problems of fuzzy performance boundary, unknown design margin and compatibility risk caused by lack of systematic testing in related technologies are solved, and the beneficial effect of providing quantifiable design basis for PCIe optical interconnection channels is achieved.

An entrance system (1) comprising a swing door member (10) having a door leaf (12), and an automatic door operator (30) is provided. The automatic door operator (30) has a motor (34) capable of causing movement of the door member (10), a controller (31) for controlling operation of the motor (34), and the automatic door operator (30) being operable in a testing mode (60) and an operational mode, wherein the controller (31) is configured, in the testing mode (60), to automatically determine at least one test parameter; and causing an action in response to the determined test parameter.

The invention discloses a high-precision and high-reliability harmonic reducer system testing method, and belongs to the technical field of mechanical fault diagnosis. The method comprises the following steps: constructing an auxiliary classifier Wasserstein generative adversarial network model based on gradient penalty and spectrum normalization, and generating a minority class of fault samples by using an unbalanced training set; preprocessing the vibration signals to form an initial training set; the effectiveness of the generated sample is evaluated through the Pearson's correlation coefficient and the cosine similarity; adding the sample into the original set and adjusting the equilibrium ratio to 1: 1; and a one-dimensional convolutional neural network is adopted for classification. The ACWGAN-SG integrates a Wasserstein distance, gradient penalty and spectrum normalization, a generator comprises four stages of deconvolution layers, and a discriminator is of a double-branch structure. Experiments are verified in a CWRU data set and a harmonic reducer test bed, and results show that the method can achieve stable convergence, the similarity between a generated sample and an original sample is high, the diagnosis accuracy after balance is remarkably superior to those of methods such as DCGAN and ACGAN, the problem of data imbalance is effectively solved, and the fault diagnosis precision and reliability are improved.

The invention relates to the technical field of intelligent unmanned system testing and credibility evaluation, in particular to an unmanned system robustness evaluation method and system based on a multi-dimensional weight genetic algorithm, and behavior modeling of an unmanned system based on a multi-agent deep reinforcement learning framework is a multi-agent Markov decision process; constructing a lunar surface dynamic multi-domain interference scene; initializing a multi-dimensional evaluation index, including performing feature splicing on unmanned system sensor data, calculating a dimension weight by using an anisotropic RBF kernel, and defining a multi-dimensional robustness loss of a target function; generating an adversarial sample through genetic optimization; virtual-real fusion credibility evaluation is carried out on the unmanned system in the simulation environment and the real environment; and judging whether to terminate iteration according to the convergence condition of the multi-dimensional index, and terminating the iteration when the multi-dimensional index meets the convergence condition. According to the method, the intelligent control vulnerability of the unmanned system in a complex dynamic environment can be effectively identified, and the credibility and the anti-interference capability of the unmanned system in an extreme task are improved.

The invention relates to the technical field of high-voltage cable and accessory insulating materials, and particularly discloses a cable double-layer composite insulating medium polarization-depolarization current testing device and method.The testing device comprises a direct-current high-voltage power source, a testing electrode system, a pressure adjusting system, a temperature control system and a current information collecting system; the test electrode system is used for loading direct-current voltage to the sample; the pressure adjusting system is used for adjusting the pressure applied to the sample by the test electrode system; the temperature control system is used for adjusting the temperature of the test electrode system during testing; and the current information acquisition system is connected to a circuit between the test electrode system and the direct-current high-voltage power supply and is used for acquiring current information in the circuit. According to the invention, the pressure and temperature control of the test electrode system can be realized, and the problem that the complex structure and actual operation conditions of the composite insulating medium are not considered in the existing test device is solved.

The invention discloses a test station model generation method and device based on adapter constraint, equipment and a medium, and belongs to the technical field of automatic testing, and the method comprises the following steps: a, respectively establishing a UUT electrical interface model, an adapter model and a resource board card model; b, screening adapters meeting requirements according to the signal type and the channel number in the UUT electrical interface model; step c, configuring a resource board card meeting the test requirement for the test station through three processes of resource card type matching, channel number matching and performance index matching according to a back panel constraint condition of the selected adapter; and step d, finally obtaining configuration information of the test station and determining a required adapter to complete modeling of the test station. Aiming at the problem that the manual design efficiency of a test station of a general test system is low, the model selection of the adapter and the generation of the test station model are realized based on the constraint conditions of the front panel and the rear panel of the adapter, and the development efficiency of the test system is improved.

The invention relates to a machine tool assembly step closed-loop control method based on intelligent vision. The problem that in the prior art, an automatic assembly mode is low in assembly detection precision, and consequently dynamic assembly errors are large is solved. The method comprises the following steps: S1, initializing a system and inputting an area; s2, data acquisition and processing; s3, determining and controlling a working area; s4, verifying and outputting a result; s5, testing and operating the system; s6, ending and feeding back; and S7, terminating the system. The device has the advantages that the reliability of assembly quality is improved, the accuracy of assembly operation is ensured, and the accuracy and stability of machine tool assembly are integrally improved.

The invention discloses an experiment-numerical value-machine learning fusion-based in-oil liquid drop electric field dynamics modeling and regulation method, which comprises the following steps of: firstly, constructing a high-voltage electric field liquid drop experiment system, and testing oil liquid drop experiment data in oil; then establishing a multi-physics field coupling model, and describing deformation and flow field evolution of oil drops in oil under a strong electric field; and finally, constructing a BP neural network and optimizing an initial weight and a threshold value to realize rapid prediction of the deformation behavior of the oil drops in the oil under the action of the electric field. According to the method, an experimental characterization-numerical solution-machine learning optimization three-layer collaborative system is constructed, a whole-process closed loop from physical property determination, equation solution to algorithm prediction is realized, and droplet deformation, charge distribution and interface response are rapidly predicted under the conditions of different electric field intensities, temperatures and emulsifier concentrations; and active control of electric field behaviors can be realized through parameter reverse adjustment, and reliable modeling and optimization basis is provided for an electrowetting chip, a flexible EHD pump and a microfluidic liquid drop regulation and control system.

The invention provides a device, method and system for testing the service life of a surgical cutting instrument, and the method comprises the steps: obtaining the parameter information of the surgical cutting instrument, and the parameter information at least comprises the type information of the surgical cutting instrument; according to the parameter information, each moving assembly is controlled to move according to a preset track corresponding to the parameter information, so that the surgical cutting instrument is driven to cut a to-be-cut sample; in the process that the surgical cutting instrument cuts the sample to be cut, a cutting signal of the surgical cutting instrument is obtained in real time, and whether the moving assemblies are controlled to stop moving or not is determined according to the cutting signal. The test device drives the operation cutting instrument to move, in the cutting, grinding and other processes, the operation cutting instrument moves at a constant speed, the test process is not affected by human factors, errors are small, and the accuracy of the test result can be ensured.

The invention relates to the technical field of metal material performance testing, and particularly discloses a metal material tensile property testing method and device of a small-size cantilever beam, and the testing method comprises the following steps: preparing a cantilever beam sample; installing and loading; and calculating parameters. The test device comprises a clamping seat provided with a clamping groove used for restraining a cantilever beam sample; the cover plate is connected to the clamping seat through a fastener so as to press and fix the cantilever beam sample on the clamping seat; the upper pressure head is used for applying quasi-static displacement loading to the cantilever beam sample; and the distance between the central point of the upper pressure head and the clamping end of the clamping seat is an effective span and is three times of the width B of the cantilever beam sample. Therefore, the problems that in the prior art, performance parameters obtained through small-size cantilever beam testing are single, and the requirement of engineering practice for multi-parameter collaborative evaluation is difficult to meet are solved, meanwhile, the method can be suitable for system testing of small-size cantilever beam samples, and the stability and accuracy of testing results are improved.

The invention provides a multi-mode tester and a multi-mode test system.The multi-mode tester is used for testing a target reaction tank system, and the target reaction tank system comprises a proton exchange membrane hydrogen production tank system, an anion exchange membrane hydrogen production tank system, a carbon dioxide reduction tank system and a hydrogen fuel cell tank system; the multi-mode tester comprises a power supply module, a control module, a power module, a driving module, an acquisition module, an analog quantity output module and a switch module. Power supply control can be performed on a first electric device, a second electric device and a third electric device in a target reaction tank system, and acquisition control can be performed on an acquisition device in a target reaction tank; the system can be simultaneously applied to a proton exchange membrane hydrogen production tank system, an anion exchange membrane hydrogen production tank system, a carbon dioxide reduction tank system and a hydrogen fuel cell tank system, the test functions are rich, the integration degree is relatively high, and the overall test cost is finally reduced.

The invention discloses an automatic generation method of an intelligent unmanned system city simulation test scene, and relates to the field of simulation scene construction and intelligent unmanned system test.The method comprises the steps that based on terrain boundary parameters, a plurality of rectangular areas with function labels are generated through Poisson disc sampling and a distance gradient algorithm; constructing a navigation grid representing the passable area; arranging a plurality of road intersections by adopting a constrained Poisson sampling algorithm; calculating the heart weight based on each intersection, and calculating the connection strength between the intersections through a gravity model; generating a global road network topology structure by adopting an improved minimum spanning tree algorithm; performing path search by adopting an algorithm A to obtain an optimal path, and automatically generating a road model and ancillary facilities; and extracting road network, road parameters and subsidiary facility information in the generated urban scene, and generating a standardized scene description file according to an OpenDRIVE standard format. And the construction efficiency of the simulation test scene, the test effectiveness and the cross-platform compatibility are improved.

The invention discloses a rotary transformer performance test method and system for an automobile motor, and relates to the technical field of motor performance test.The method comprises the steps that parameter configuration is conducted on a tested rotary transformer; the method comprises the following steps: connecting a rotary transformer with an automobile motor controller and a rotating speed encoder, controlling the tested rotary transformer to operate in a dynamic rotating speed sequence, synchronously acquiring output voltage, transformation ratio error, phase deviation and temperature drift data, and extracting harmonic distortion rate and dynamic response delay characteristics; constructing a performance evolution graph, and updating the excitation voltage and the initial working frequency of the primary winding; and determining a comparison result according to a performance test standard to obtain a performance test report. According to the invention, the technical problem that the performance test of the rotary transformer for the automobile motor is lack of comprehensiveness and accuracy in the prior art is solved, and the technical effects of realizing the system test of the performance of the rotary transformer for the automobile motor, generating the report and improving the comprehensiveness and accuracy of the performance test are achieved.

The invention discloses an atmospheric environment simulation method and device for aerospace flight simulation, and relates to the related field of data processing, and the method comprises the steps: carrying out the multi-stage environment construction of a flight test scheme of an aerospace vehicle according to an atmospheric data system tester, and obtaining a multi-stage flight simulation environment; performing a simulation test on the aerospace vehicle to obtain a first test sequence; performing simulation scene variation compensation to obtain a second test sequence; performing multi-dimensional risk prediction on the test scheme to obtain a multi-stage test risk prediction result; and carrying out sensitivity association to obtain a multi-order risk environment sensitive factor, and optimizing a test scheme. The technical problem that the test result is incomplete and inaccurate due to the fact that the environment simulation scene is limited and uncertain factor consideration is lacked in the adaptability test of the aerospace vehicle in different atmospheric environments in the prior art is solved, the flight state of the aerospace vehicle in the complex atmospheric environment is truly and comprehensively simulated, and the test efficiency is improved. And the comprehensiveness and the accuracy of a test result are improved.

The invention discloses a test data generation method and device, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: determining a target message protocol file corresponding to a standardized data template corresponding to business transaction data; transmitting the standardized data template to a target message protocol file; when the transmission is completed, performing format conversion on a message protocol in the standardized data template based on a message protocol grammar rule in the target message protocol file to obtain message protocol specification data; and injecting the message protocol specification data into the sending message to generate test data. According to the invention, the message protocol in the standardized data template can be converted into the message protocol specification data based on the message protocol grammar rule, and the message protocol specification data is injected into the sending message to generate the test data, so that the problem that in the prior art, the message system test depends on the technical specification of the message system of manual learning is solved; and the test accuracy is not high.

The invention provides a test system of a direct current charging pile. The test system comprises a programmable load; the I / O controller is connected with one end of the I / O controller after the plugs and the sockets of the different functional units of the direct current charging pile are butted; and the control system is used for outputting a control instruction to the I / O controller, so that the I / O controller outputs a driving signal to the functional units according to the control instruction to respectively perform on / off control. According to the invention, on-off of each function signal can be respectively controlled according to test case requirements, and automatic gun insertion and extraction, automatic card swiping authentication and automatic charging pile off-line and on-line in a charging pile system test process are realized. The system can automatically drive an emergency stop switch and an access control switch, automatically adjust the temperature change of a charging gun, automatically load and adjust the size of a load, and automatically achieve the power supply and outage of a charging pile, and does not need the manual intervention of a tester in the testing process, thereby solving the problem of poor consistency of manual operation, and improving the testing efficiency. And the test efficiency of aging test, repeatability test and the like can be greatly improved.