775 results about "Safety testing" patented technology

The invention provides a multi-mode ultrasonic fusion pressure vessel weld defect nondestructive testing method and system, and relates to the technical field of nondestructive testing. According to the method, geometric parameters of a welding seam are obtained through three-dimensional laser scanning, and an optimal scanning parameter set is generated; driving ultrasonic phased array equipment to scan for one time and synchronously acquire shear wave full-matrix capture and longitudinal wave linear scanning data; performing energy flow angular spectrum analysis and envelope analysis on the bimodal data, extracting defect feature parameters and constructing a three-dimensional feature tensor; carrying out multi-dimensional feature fusion by adopting Tucker decomposition, and enhancing a core tensor through physical modeling; generating three types of defect indication diagrams including a defect existence possibility diagram, a defect relative scale diagram and a defect space orientation diagram from the enhanced feature tensor; and the three types of indication diagrams are visually presented for comprehensive interpretation of detection personnel. Through multi-modal data fusion and physical modeling enhancement, the defect identification accuracy and detection efficiency are remarkably improved, the false alarm rate is reduced, and reliable technical support is provided for pressure vessel welding seam safety detection.

The invention relates to a visual fusion method and device of an ultraviolet image and a visible light image, equipment, a storage medium and a program product, and relates to the technical field of electric power safety detection. By adopting the method, the accuracy of image registration can be improved. The method comprises the following steps: extracting an ultraviolet discharge corona region from an ultraviolet image, and calculating the pixel area of the ultraviolet discharge corona region; inputting the detector gain, the detection distance and the pixel area into a trained neural network model to obtain the discharge pulse current intensity, and determining the ultraviolet discharge intensity grade; performing registration on the ultraviolet image and the visible light image according to the imaging view field offset, and performing pixel-level image fusion based on local content weighting on the registered ultraviolet image and visible light image to obtain an initial fusion image; and superposing the detector gain, the detection distance, the discharge pulse current intensity and the ultraviolet discharge intensity grade on the initial fusion image to obtain a target fusion image, and visually displaying the target fusion image.

The invention relates to the technical field of new energy battery testing, and discloses a new energy battery safety testing system and method, and the system comprises a multi-physical field synchronous collection and analysis module which is used for synchronously collecting electric signals, temperature field distribution and stress-strain data in a battery testing process, and carrying out the multi-field coupling analysis; a self-adaptive test parameter regulation and control module; the thermal runaway risk prediction module is used for analyzing and predicting the risk probability and residual safety time of thermal runaway of the battery based on multi-parameter fusion; the microstructure-macroscopic performance correlation analysis module is used for acquiring microstructure information of the battery through nondestructive testing and establishing a correlation model with macroscopic safety performance, and the new energy battery safety test system realizes collaborative analysis of multiple parameters of electricity, heat and force through the multi-physics field synchronous acquisition and analysis module; the safety state of the battery can be reflected more comprehensively, and the defect that a traditional testing method is single in dimension is overcome.

The invention relates to the technical field of automobile network security, in particular to an intelligent networked automobile penetration test path generation method and system based on a knowledge graph, and the method comprises the steps: constructing an intelligent networked automobile intranet penetration test security knowledge graph through fusing multi-source heterogeneous data based on an intranet E / E architecture; generating a potential attack path based on the knowledge graph by using a depth-first search algorithm of dynamic pruning optimization; a multi-dimensional space-time risk assessment framework is utilized to quantify path threat intensity and execution feasibility, and quantitative assessment on the generated attack path is realized; and according to an evaluation result, selecting a high-risk and feasible attack path to carry out an actual penetration test, and discovering security vulnerabilities and weaknesses in the system. According to the method, the attack surface is fully covered, the high-value attack path is efficiently generated, the threat intensity and the execution feasibility are accurately and quantitatively evaluated, and the safety test efficiency and accuracy of the intelligent network connection automobile intranet are remarkably improved.

A system includes one or more processors that obtain raw data regarding one or more events of a vehicle. The system infers, within the raw data, an indication of a vehicle, vehicle attributes, an environment, and environmental attributes according to an ontological framework. The ontological framework defines linkages among the vehicle and the vehicle attributes, and relationships among the vehicle and other objects within the environment. The system transforms the raw data into a seed scenario according to the ontological framework. The seed scenario includes a file, and the seed scenario includes a description or a depiction of the vehicle, the vehicle attributes, the environment, and the environmental attributes. The system generates one or more additional scenarios by modifying the seed scenario. The modification of the seed scenario is based on modifications to the environmental attributes, the vehicle attributes, and navigation attributes.

The invention provides a surrounding rock transparent stress field optical fiber anchor cable testing device and method, and particularly relates to the field of mine mining safety testing, and the device comprises an anchoring assembly, a sealing part, an optical fiber sensor and a fixing protection part; the anchoring assembly is fixed in surrounding rock; the sealing component is of a tubular closed structure and is tightly attached to the outer wall of the anchoring assembly. The optical fiber sensor is arranged in the anchoring assembly in a penetrating manner and comprises a distributed optical fiber and an optical fiber grating, and the distributed optical fiber is spirally wound and annularly arranged along the outer wall of the anchoring assembly and is folded and placed in the anchoring assembly when wound to the tail end of an anchoring section of the anchoring assembly; the fiber bragg grating is radially arranged in the anchoring assembly; the fixed protection parts are tightly attached to the anchoring section and the exposed section of the outer wall of the anchoring assembly respectively, and the sealing part is clamped between the fixed protection parts; the surrounding rock stress field can be accurately tested in a large range, and the problems of low sensitivity, large error and limited test range during surrounding rock stress test in the prior art are solved.

The invention belongs to the technical field of fine chemical reaction safety testing and automatic chemistry, and particularly discloses a nonlinear model predictive temperature control method of a semiconductor temperature control type synthesis reactor. The method comprises the following steps: constructing a dynamic heat transfer model of the system based on the semiconductor temperature control type synthesis reactor; designing a nonlinear model prediction controller according to the heat transfer model of the synthesis reactor; constructing a multi-constraint objective function for nonlinear predictive control according to the characteristics of the controlled object; and solving an optimal control sequence for the nonlinear model prediction controller by adopting a projection gradient method. Compared with a traditional PID temperature control algorithm, the temperature of the reactor can be accurately predicted and controlled through the designed nonlinear model prediction temperature control algorithm, it is ensured that the chemical reaction is conducted at the optimal temperature, and the robustness and adaptability of a control system are improved.

The invention provides an automatic driving safety test system and method, and relates to the technical field of automatic driving, and the system comprises a conventional traffic scene generation subsystem which is used for generating a conventional driving scene data set in a simulation platform; the safety key scene generation subsystem is used for generating a safety key scene by utilizing an automatic driving scene generation network SAGA based on adversarial disturbance according to the conventional driving scene data set; and the safety key scene clustering analysis subsystem is used for dynamically discovering a new category and optimizing a clustering structure by introducing a progressive unsupervised clustering method according to the generated safety key scene to obtain a scene analysis result. According to the method, the problems of insufficient test scene coverage, weak resistance test capability, low key scene analysis efficiency and the like in the safety verification of the existing automatic driving system are solved.

The invention relates to the technical field of application of the Internet of Things, in particular to a food safety traceability method and system based on the Internet of Things, solves the problems of a traditional food safety traceability method, improves the overall efficiency and effect of food safety management, and provides technical support for food safety. The method comprises the following steps: performing safety detection on food to obtain a food safety quality detection set; comparing the food safety quality detection set with a food safety quality standard set, and extracting and summarizing items with detection results exceeding the standard to obtain a food safety exceeding item set; for each standard-exceeding item, extracting a food stage correlation vector corresponding to the standard-exceeding item from a preset item stage correlation database; and calculating a processing stage correlation coefficient sum, a transportation stage correlation coefficient sum, a storage stage correlation coefficient sum and a sales stage correlation coefficient sum in all the food stage correlation vectors, and sorting the stages according to calculation results.

An apparatus for safety testing a battery pack of an electric vehicle includes a low voltage data connector configured to couple to a battery management system controller of the electric vehicle battery pack for data communication with the battery management system controller. A test connector is configured to couple a battery module of the electric vehicle battery pack for use in testing the battery module. Measurement circuitry measures a parameter of the battery module through the test connector. A diagnostic controller couples to the low voltage data connector and the measurement circuitry and is configured to identify an error in data received from the battery management system controller based upon a comparison of the parameter measured by the measurement circuitry and the data received from the battery management system controller.

The present invention is applicable to the field of battery safety testing, and discloses a battery pack puncture test device, including a test platform, a puncture needle module and a clamping assembly. The battery pack is placed on the test platform, a first installation area is arranged on the left side and / or the right side of the test platform, a second installation area is arranged on the front side and / or the rear side, a third installation area is arranged on the top, and a fourth installation area is arranged on the bottom. The puncture needle module is installed on any one of the first installation area, the second installation area, the third installation area and the fourth installation area, and the puncture needle module is detachably connected to the test platform. The puncture needle module is used to puncture the battery pack, and the clamping assembly is installed on the test platform to clamp the battery pack; the user can install the puncture needle module in the corresponding installation area according to the puncture position of different types of battery packs, thereby reducing production costs and improving economic benefits.

The invention relates to the technical field of agent testing, and particularly provides an agent dynamic behavior safety testing method and system based on a risk conduction quantification model, and the method comprises the steps: collecting agent behavior data which comprises a plurality of pieces of risk operation information and a risk association relationship; constructing a behavior risk association map by taking the risk operation as a node and the association relationship as an edge, labeling a risk attribute and an aging factor for the node, and labeling risk conduction intensity for the edge; constructing a risk rule base based on the risk labeling result and a preset risk judgment logic; inputting the behavior data, the behavior risk association map and the rule base into a trained quantitative model, and calculating a risk conduction probability, an influence range and a critical node; monitoring a behavior track in real time, suspending a task when a multi-dimensional risk threshold is triggered, backtracking an inference chain and generating an intervention record; and fusing the multi-dimensional data to generate a test report. According to the method, the problems of correlation risk missed judgment and response lag in the traditional test are solved, and the pertinence and reliability of the safety test are improved.

The invention relates to the technical field of battery safety testing, in particular to a new energy lithium battery impact testing device which comprises a testing table and a supporting column, the supporting column is fixedly connected to the lower surface of the testing table, a shell is fixedly connected to the upper surface of the testing table, and speed adjusting mechanisms are arranged on the two opposite outer walls of the shell. Butt joint mechanisms are arranged on the two opposite sides of the upper surface of the test board, a firing pin and a collision block are arranged on the two sides of the top of an inner cavity of the shell, a rotating cover is slidably connected to one end of the upper surface of the test board, and a linkage mechanism is arranged in the test board. According to the new energy lithium battery impact test device, tested batteries can be divided into columnar lithium batteries and cuboid lithium batteries, the columnar lithium batteries and the cuboid lithium batteries can be clamped, if impact test types need to be replaced, the impact test types can be replaced through a linkage mechanism, the automation degree is high, and the test efficiency is high. Technicians do not need to manually replace collision objects, and manpower and time are saved.

The invention discloses a false data injection and concealment inspection method, system and equipment for safety testing of a process industrial system, and belongs to the technical field of industrial control system automatic monitoring and process safety. The problem that safety testing and safety protection drilling are not comprehensive in safety detection of a process industrial system is solved. According to the method, historical data and online measurement data collected in an industrial process are analyzed, an attack vector is designed, a data sequence is generated by utilizing an online self-adaptive updating strategy, and then the data sequence is injected into an industrial control system running in real time. The state of the controlled system deviates from an expected value on the premise of not causing the detection system to generate additional alarm. According to the method, whether data injection has concealment or not is detected online, and whether the data injection is still valid or completely invalid or not can be judged from the perspective of defense of system security testing. The method is used for safety testing and safety protection drilling in safety detection of a process industry system.

The invention relates to a hydroelectric main shaft all-condition simulation test system and method, and the system comprises a fixed rack, one side of the fixed rack is provided with a tripping starting detection device, the fixed rack is provided with a hollow three-axis platform, a three-axis excitation system and a rotation driving part, the moving end of the three-axis platform is connected with a hollow floating rack, and a bearing is disposed in the floating rack. The rotation driving part comprises a power part and a main shaft connected to the torque output end of the power part, the main shaft is in transmission connection with the rotating disc, a hydroelectric large shaft used for a simulation test is installed on the rotating disc, and the three-shaft excitation system is used for applying X-direction, Y-direction and Z-direction high-frequency sine excitation loads to the hydroelectric large shaft of the rotating disc. The device is used for overcoming the defects that an existing testing device mainly focuses on vibration loading of a static mechanical device, simulation and performance testing cannot be carried out on dynamic behaviors under the composite working conditions of rotation, vibration and impact of a hydroelectric large shaft, and safety testing and rating cannot be carried out on a hydroelectric generating set sensor and a tripper overspeed protection device.

The invention relates to the technical field of vehicles, in particular to a vehicle information safety production consistency detection method and device and electronic equipment.The method comprises the steps that a target part injected with first secret key information is received, black box testing is conducted on the target part, and a black box testing result is obtained, and if the black box test result meets a first preset test condition, performing a white box test on the target part to generate a white box test result of the target part, and if the white box test result meets a second preset condition, generating safety test information of the target part. Therefore, the problem that the production consistency of part information safety cannot be guaranteed due to the fact that whether the debugging port of the part is effectively closed or not cannot be verified through a detection method in the related technology is solved, effective closing of the debugging port is verified through the method of carrying out secret key injection and penetration testing on the part, and therefore the production consistency of the part information safety is guaranteed.

The invention relates to the technical field of crude oil storage tank safety testing, and particularly discloses a crude oil storage tank combustion boiling overflow simulation testing device which comprises an experiment table, an oil tray, a sampling assembly and a measuring assembly, the oil tray is connected to the experiment table, and the measuring assembly comprises a plurality of heat flow meters, a thermocouple, a camera and an infrared camera. The heat flow meters are arranged at the bottom, in the middle and outside the oil pan respectively and used for measuring and obtaining internal and external heat conduction intensity data of the oil pan when crude oil burns. The thermocouple is connected in the oil pan through the mounting frame and used for measuring and obtaining data of the temperature of the center line of the oil pan, the formation position of a hot area and the temperature in the hot area, the camera is used for obtaining image data of the flame height, the splashing area contour and the combustion area contour which change along with time, and the infrared camera is used for obtaining image data of the thermal radiation area contour; the sampling assembly is connected to one side of the oil pan and used for sampling and detecting non-azeotropic oil in a hot area in the oil pan. The device can provide more comprehensive data support for disaster relief.

The utility model relates to the technical field of charging port information safety, and particularly discloses an electric vehicle charging system information safety testing device which comprises a vehicle power supply plug connected with a vehicle charging port. The vehicle power supply plug comprises an interface end plate, the upper end of the interface end plate is provided with a connection confirmation interface and a charging signal interface, and the lower end of the interface end plate is provided with a protection grounding interface and a low-voltage auxiliary power supply interface. A resistor of 1 kilohm is connected in series between the connection confirmation interface and the protection grounding interface. The low-voltage auxiliary power supply interface is connected with a wake-up voltage; the charging signal interface is connected with a test tool, and the test tool is in communication connection with the operation end. Various attack behaviors of hackers are simulated, the information safety of the electric vehicle charging system is detected, and the personal and property safety is guaranteed.

The invention discloses a vehicle testing method and device, a processor, a vehicle and a storage medium. The method comprises the steps that original scene information of a to-be-tested vehicle is acquired; the original scene information is reconstructed to obtain first reconstructed scene information, and the first reconstructed scene information is used for representing virtual video data of the reconstructed real driving scene; based on original driving information of the to-be-tested vehicle, the first reconstructed scene information is adjusted to obtain second reconstructed scene information, and the original driving information is used for representing driving parameters of the to-be-tested vehicle driving in the real driving scene; and testing the to-be-tested vehicle driving according to the original driving information by using the second reconstructed scene information to obtain a test result of the to-be-tested vehicle. The technical problem that the safety test efficiency of the vehicle in the intelligent driving mode is low is solved.

The invention relates to the technical field of software testing, discloses a fuzzy testing method for an operating system kernel, and solves the problem that effective isolation of a test and efficient recognition and verification of vulnerabilities are difficult to ensure when an existing fuzzy testing method for the operating system kernel is implemented in a virtualization environment. According to the method, improvement is carried out according to the problem that hypervisor and fuzzy testing are not combined at present, a Hypervisor technology and an N-prediction model are combined, the purpose of improving safety testing of a Guest OS kernel is achieved, parallel management is carried out on a plurality of Guest OS instances through a Hypervisor layer, the generation process of a test case is optimized through the N-prediction model, and therefore the safety testing efficiency of the Guest OS kernel is improved. The N-prediction model predicts the next system call by considering the historical system call sequence on the basis of Markov hypothesis, so that the test case with more trigger vulnerabilities is generated, the fuzzy test efficiency is improved, the unknown vulnerability can be found according to different fuzzy test results of guest os kernel, and the safety and reliability are improved.

The invention discloses a comprehensive detection system for a new energy automobile chip. The comprehensive detection system comprises a data acquisition module used for acquiring operation data of the new energy automobile chip; the signal processing module is used for converting the analog signal into a digital signal and processing the signal; the fault analysis module is used for analyzing the operation data through a machine learning algorithm and constructing high-sensitivity features strongly related to faults; the safety test module is used for carrying out HBM, CDM and EMC tests to evaluate the safety performance of the chip; the performance test module is used for evaluating the performance of the chip under set extreme conditions through a high temperature life test HTOL and an early life failure test ELFR; and the data storage and analysis module is used for storing test data. According to the scheme provided by the invention, the prediction accuracy, the measurement efficiency and the anomaly detection capability are improved according to the measured electrical variable and the measured magnetic variable, so that the performance, the safety and the reliability of the chip can be comprehensively evaluated.

The invention discloses a credential application compatibility adaptation method and system based on instruction set conversion, and relates to the technical field of computer compatibility adaptation. According to the method, related fragments of the instruction set in the source code are accurately recognized through a static analysis tool, and the fragments are converted into the target instruction set through an adapter mode and a dynamic compiling technology; meanwhile, a binary analysis tool is adopted to adapt to the runtime library and optimize the performance, and the compatibility and stability of the application are comprehensively verified through function testing, performance testing and safety testing, so that the whole scheme not only solves the compatibility problem in cross-platform migration, but also optimizes the performance and guarantees the safety; and the adaptation efficiency and the maintainability of the creative application are remarkably improved.

The invention discloses a high-altitude falling collision test system and method for a child safety seat. The system is characterized in that an experimental test object is fixed in a safety seat to be experimented, a data sensor and a collision marker are arranged in the experimental test object, and the data sensor is connected with a data acquisition and analysis module; the to-be-tested safety seat is installed in a preset seat position of the first test vehicle; the vehicle lifting module lifts the first test vehicle to a preset falling height; a trigger sensor is arranged in the second test vehicle and is connected with the data acquisition and analysis module; at least one in-vehicle high-speed camera is arranged in the first test vehicle, the in-vehicle high-speed camera is used for shooting an experimental test object, and the in-vehicle high-speed camera is connected with the data acquisition and analysis module; according to the invention, comprehensive safety testing can be carried out on the child safety seat in a high-altitude falling mode, and the accuracy of testing the child safety seat is improved by simulating the real motion state of vehicle collision.

The invention provides a lane changing safety testing device and method based on an automatic driving truck, and relates to the technical field of vehicle testing, the lane changing safety testing device based on the automatic driving truck comprises a lifting mechanism and a limiting track, the lifting mechanism comprises a supporting frame, a lifting piece and a telescopic frame, the supporting frame is installed on the limiting rail in a sliding mode, an adjusting hole is formed in the supporting frame, and the telescopic frame is of an L-shaped structure; according to the lane changing safety testing method of the automatic driving truck, the lane changing safety testing device based on the automatic driving truck is adopted to carry out lane changing testing in an automatic driving system on the automatic driving truck. According to the scheme, the track moving mechanism finally drives the first test plate to move, so that the first test plate is far away from the second test plate in the vertical state, and support is provided for the lane changing test of the automatic driving truck; and therefore, one piece of test equipment can meet the test requirements of various application scenes.

According to an embodiment of the present invention, a fire prevention chamber (1000) for a battery safety test is provided, the fire prevention chamber comprising: a bottom surface; a side wall vertically connected to the bottom surface; and a housing upper part connected to an upper end of the side wall. The housing upper part has an open part. The side wall includes a chamber housing (100) having a predetermined opening part, a bottom part, a side part vertically coupled to the bottom part, and a table upper surface vertically connected to an upper end of the side part. An opening part having a predetermined area and an openable / closable gate are provided on the table upper surface. One end of an air cylinder for opening and closing the gate is coupled to the side part. A test table (200) for testing and inspecting a battery to be tested is mounted on the gate. In addition, the present invention can provide a fire prevention chamber for a battery safety test, the fire prevention chamber being capable of preventing damage to the test chamber and burning of the battery by suppressing overheating and explosion by rapidly dropping the battery to the water surface inside a test table filled with water immediately when overheating and explosion occur during a battery test.

The invention discloses a position detection and cheating device and method for an unmanned aerial vehicle, and the device integrates a position information obtaining module, a GNSS signal receiving module, and a GNSS cheating signal generating and transmitting module, obtains the position of the unmanned aerial vehicle through a Wi-Fi network card or a Bluetooth receiver, and a USRP B210 device and related software collects and processes a GNSS signal and generates a cheating signal. The method comprises three processes of unmanned aerial vehicle position information detection, real GPS signal receiving and position deception signal generation, and the safety of the unmanned aerial vehicle is evaluated through multi-link analysis, signal receiving and simulation signal generation and emission. The unmanned aerial vehicle position and the GPS signal can be acquired in real time, the authenticity of the deception signal is improved, and the test effectiveness is enhanced; and the device has the advantages of high simulation degree, high precision, simplicity and convenience in operation, low cost and the like, and an efficient scheme is provided for unmanned aerial vehicle position safety testing and anti-deception capability evaluation.

The invention relates to the technical field of safety testing, and particularly provides a method, device and equipment for generating an expected function safety testing scene library, and the method comprises the steps: obtaining a parameter combination of key parameters in a pre-constructed basic scene; wherein the key parameters comprise environment parameters, traffic dynamic parameters and vehicle system parameters; generating a plurality of test scenes based on the parameter combination; after screening the plurality of test scenes, constructing a test scene library; wherein the test scene library is used for an expected function safety test of the intelligent driving vehicle. According to the embodiment of the invention, a rich expected function security test scene library can be constructed, and support is provided for expected function security test.

The invention discloses a transformer arc fault equivalent test device and a control method, and relates to the technical field of power equipment fault simulation and safety test, and the method comprises the steps: carrying out the corresponding high-pressure gas storage through a high-pressure gas storage unit according to target pressure data calculated by a choking flow dynamic coupling model; the quick release unit is used for matching fault duration according to the test trigger instruction so as to release the high-pressure gas stored in the high-pressure gas storage unit; the energy injection unit injects high-pressure gas into the test oil tank to form shock waves; the safety protection unit starts an interlocking protection mechanism based on the test data; the monitoring control unit controls each unit to act, monitors the operation process of each unit in real time, and obtains and identifies the validity of test data to optimize the test process; according to the invention, automatic test process control is realized, the arc fault key damage effect can be accurately quantified and reproduced, high-precision matching of pressure wave time domain characteristics is realized, and the reliability of a test result is ensured.

According to the penetration test system and method for the vehicle-mounted controller, various types of communication interfaces and equipment interfaces are integrated in the industrial personal computer, so that the rigid requirements for communication configuration in various test scenes are met. Furthermore, through division of a bus security test module, a system security test module and a communication security test module, each module can independently construct connection with a target vehicle-mounted controller based on a Vector tool chain, an ADB / SSH, a wireless network card and a Bluetooth adapter, parallel execution of multiple test cases is supported, and the test cases do not interfere with one another; and synchronous promotion of safety tests such as bus diagnosis, system login, wireless communication and the like is realized. The upper computer serves as a control core and can automatically drive any module or multiple modules to work cooperatively according to the target test case, and test instructions are issued in a unified mode through the VT test system, so that the test preparation time and the execution period are greatly shortened, and the effect of improving the penetration test efficiency of the vehicle-mounted controller is achieved.

The invention relates to the technical field of high-voltage line mirror bracket safety testing, and discloses a high-voltage line mirror bracket split type safety link structure testing method and system. According to the method, plugging and bending tests are carried out on a high-voltage line mirror bracket split type link structure through a mechanical arm, and interface pressure and structure deformation image data are collected in real time. And analyzing interface wear and structural fatigue damage characteristics by using a pre-trained wear detection model, and outputting a real-time wear degree evaluation result. And after the test period is finished, integrating the multi-modal data and the evaluation result to generate a three-dimensional visual detection report, positioning a wear concentration position, marking an abnormal wear point and quantifying the structural safety level. According to the invention, the problems of incomplete test and inaccurate evaluation in the prior art are solved, and the product safety and reliability are improved.