447 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 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.

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.

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 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 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 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 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 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.

The invention discloses an energy storage black-start load identification method based on dynamic response and related equipment, and aims to solve the technical problem of high secondary collapse risk of a system caused by blind closing and power transmission of an unknown load in an energy storage black-start process in the prior art. According to the method, before formal switching-on power transmission, customized safety test pulses are generated through a pulse parameter model according to physical parameters of a power line, and dynamic response signals of loads are collected and analyzed, so that prospective recognition of the health states of the loads is achieved. According to the method, the load recovery in the energy storage black start is changed from blind closing to a controllable process of first diagnosis and then power transmission, so that the risk of secondary collapse of the system due to fault load access is fundamentally reduced.

The invention relates to the technical field of intelligent network connection automobile testing, in particular to a foggy day simulation control method and system for a vehicle expected function safety test, and the method comprises the following steps: S1, setting a target visibility value and a visibility deviation threshold value; s2, acquiring measurement values of a plurality of visibility sensors arranged in the test tunnel along the driving direction in real time, and acquiring a real-time water pressure value of a pressure sensor in a water supply main pipeline of the atomization unit; s3, comprehensively analyzing the measured values of the plurality of visibility sensors, and determining the current average visibility; s4, comparing the target visibility value with the current average visibility, and determining the visibility deviation; s5, executing a hierarchical control strategy according to a comparison result of the visibility deviation and a threshold value; and S6, circularly executing the steps S2 to S5 until the simulation test task is finished. According to the invention, a control logic of closed-loop feedback and hierarchical decision is constructed, and a reliable environment reference is provided for SOTIF testing.

The invention discloses a heterogeneous integration test method based on AI, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting heterogeneous integration operation data, and carrying out data cleaning, anomaly detection, feature extraction and standardized output of a standardized data set; generating a plurality of neural network frameworks by using random initialization and Bayesian optimization, and outputting an optimal neural network structure in combination with fitness evaluation; optimizing the neural structure network and outputting an AI test model by combining crossover variation, pruning optimization and a genetic algorithm; function testing, pressure testing and safety testing are carried out in a real environment, key performance indexes are calculated, and optimization suggestions are output in combination with test feedback data; and outputting an intelligent test model by using a model-independent meta learning and transfer learning method. Through combination of crossover variation, pruning optimization and a genetic algorithm, each network structure can meet different targets, and meanwhile, the test efficiency can be improved.

The invention discloses a safety test method and device for a charging pile and electronic equipment. The method comprises the steps that a charging pile of a new energy automobile is tested through a preset unit and a simulation unit, first data, second data and third data are obtained, the preset unit at least comprises a resistor, a capacitor and an inductor, and the simulation unit is used for simulating different operation states of a power grid; the first data is used for representing an island protection test result of the charging pile, the second data is used for representing an overvoltage protection test result of the charging pile, and the third data is used for representing an overcurrent protection test result of the charging pile; and determining a safety test result of the charging pile according to the first data, the second data and the third data. The technical problem that in the prior art, the safety of the operation process of the charging pile connected to the power grid is low is solved.

The invention provides an agricultural product quality safety monitoring system with no-damage detection end data preferential chaining, and relates to the technical field of agricultural product quality safety, an alliance block chain network of the system comprises an evidence storage gateway and consensus nodes, and the consensus nodes comprise a detection node, a logistics node, a sales node and a supervision node; the evidence storage gateway is used for writing a detection data report of a target agricultural product as an initial transaction into the alliance block chain network after receiving the detection data report of the target agricultural product sent by the damage-free detection end, and generating a block chain identifier uniquely bound with the detection data report; the nondestructive detection end uploads a detection data report in real time after generating the detection data report; the consensus node adopts an improved PBFT consensus mechanism, the detection node serves as a first priority node of data uplink, data about target agricultural products sent by the production end, the logistics end and the sales end needs to be stored in association with a detection data report, and the supervision node has a one-ticket override capability. The authenticity and timeliness of agricultural product quality safety detection data can be improved.

The invention provides a security test method and system for an industrial control embedded system. The method comprises the following steps: acquiring CFG of an industrial programming client; generating a plurality of target test cases based on the CFG, and inputting the target test cases into the industrial programming client; generating an STG of the industrial control embedded system based on the target test case and the target result information; generating a supplementary test case outside the target test case based on the STG, and inputting the supplementary test case into the industrial programming client; and determining whether the industrial control embedded system has a security problem according to the target test case, the target result information, the supplementary test case and the supplementary result information. According to the technical scheme, various contents capable of interacting with the industrial control embedded system are obtained, the STG is generated according to the test result information in combination with the test case, some running states of the industrial control embedded system can be obtained, the supplementary test case is generated, and the accuracy of safety detection of the industrial control embedded system is improved.

The battery clamp provided by the utility model comprises the first clamping plate and the second clamping plate, the first clamping plate and the second clamping plate are oppositely arranged, the accommodating space is defined between the first clamping plate and the second clamping plate, and the strain sensor is arranged in the accommodating space; and the strain sensor can collect stress data of each point location of the stress part of the battery. Thus, when the battery is clamped and fixed, the clamping force of the clamp can be adjusted according to the stress data collected by the strain sensor, and it is ensured that the battery is in a stress balance state when the battery is clamped and fixed. Besides, in the safety test process, the strain sensor can continuously collect stress data, so that the expansion force value corresponding to each point position of the battery can be calculated through the stress data, collected in the test, of each point position of the battery, and data reference is provided for battery and module design.

The invention discloses a lithium ion battery thermal runaway gas-liquid-solid multiphase jet simulation device and method, and belongs to the technical field of battery safety testing. The device comprises mixed gas, high-temperature steam and dust sampling pipelines which are arranged in parallel and converged to a nozzle, a closed reaction container provided with an environment regulation and control system, a system for ignition and multi-parameter monitoring and a master control system. According to the method, multi-phase medium parameters and a container environment are set through general control, and the whole process of environment creation, multi-phase jet injection, ignition and data acquisition is automatically completed. According to the invention, the defects of high cost, high risk, poor repeatability and incapability of independently regulating and controlling multiphase components caused by dependence on a real battery in the prior art are overcome, the complex multiphase jet combustion behavior can be safely, accurately and repeatedly simulated, and a key experimental platform is provided for quantitative research on thermal runaway flame characteristics and a prevention and control technology.

The invention relates to the technical field of power supply testing, and discloses a power supply system automatic testing system based on an aging test. The system comprises a data perception module, a state path generation module, a path cross analysis module, a state judgment module, a decision-making module, a control module and a test output module. The data sensing module obtains multi-source test data, extracts features and constructs a test original sequence template; a state path generation module constructs a feature directed path and state path structure; the path cross analysis module screens cross paths to obtain a test cross path set; the state judgment module matches the path end point label and generates a power system state affiliation label group; the decision-making module performs risk assessment and prediction according to the results to obtain an aging state prediction result and a safety test threshold value; the control module adjusts test parameters and controls the equipment according to the parameters; and the test output module generates a test report. According to the system, multi-source data acquisition, accurate state judgment and automatic control are realized, and the test process is optimized.

The invention provides a humanoid robot joint bearing shock resistance testing device, which relates to the field of robot safety testing and comprises a testing machine supporting seat, a limiting mounting frame, a testing table protective cover, a sliding sealing baffle plate, a positioning mounting rod, a timer pressing switch and a bearing limiting piece. The limiting mounting frame is fixedly connected to the rear side of the testing machine supporting seat; the test board protective cover is fixedly connected to the upper end surface of the test machine supporting seat; the sliding sealing baffle is slidably connected to the front side of the test board protective cover. The positioning mounting rods are fixedly connected to the left and right sides of the sliding sealing baffle; the timer pressing switches are arranged on the left side and the right side of the testing machine supporting seat; the bearing limiting piece is in threaded connection with the upper part of the testing machine supporting seat; according to the invention, the test environment can have sufficient stable time, the condition of deviation of a test result is avoided, the accuracy of the test result is ensured, and the problem that the stable time of the environment is insufficient due to negligence or misoperation of a worker in the test process is solved.

A system and method for safety testing a host autonomous vehicle (AV). This method includes: generating a trained machine learning (ML) agent and testing the host AV in an environment that includes one or more background vehicles configured to operate according to the trained ML agent. The ML agent is generated by: (i) obtaining a testing state model having non-safety-critical states and safety-critical states, (ii) editing the testing state model to obtain an edited testing state model that omits data concerning the non-safety-critical states, and (iii) training a ML agent using the edited state testing model so as to generate the trained ML agent.

The invention discloses a double-layer adversarial attack method for an automatic driving decision model. The method comprises the following steps: establishing a mixed traffic automatic driving scene; designing a man-driven vehicle model; designing an automatic driving vehicle intelligent body; training an automatic driving automobile decision model through reinforcement learning; designing an upper-layer agent of the attack model; designing a lower-layer gradient calculation loss function of the attack model; and training the attack model. According to the method, an improved Dueling DQN algorithm is adopted on the upper layer to obtain the optimal motion disturbance direction of the automatic driving automobile, specific state disturbance is generated on the lower layer through momentum projection gradient descent, and an attack model is obtained through interactive training with the trained automatic driving automobile. Compared with the prior art, the method has the advantages that the attack efficiency is greatly improved while the optimal attack effect is ensured, and a brand-new efficient method is provided for the safety test of the automatic driving system.

The invention provides a battery thermal runaway triggering device, a triggering method and a triggering system, and relates to the technical field of battery safety testing. The battery thermal runaway triggering device comprises a magnetic field generation module and a triggering monitoring module, the magnetic field generation module is used for continuously applying a high-frequency alternating magnetic field to a target battery in a close range according to the working frequency of the target battery, and the triggering monitoring module is used for monitoring whether the target battery enters a thermal runaway state or not. And under the condition that the target battery enters the thermal runaway state, the magnetic field generation module is controlled to stop working. The battery thermal runaway triggering device can trigger the thermal runaway of the target battery in the shortest time under the condition that excessive energy is not introduced, and the authenticity of the battery thermal spread test process is guaranteed.

The invention relates to the technical field of automobile passive safety testing, discloses a method for selecting a barrier avoidance rigid channel based on curve characteristic inflection points, and aims to solve the problems of inaccurate result and tedious operation caused by dependence on manual subjective judgment in an existing method. The method comprises the following steps: preprocessing and normalizing an original force-displacement curve of a counterguard dynamic experiment, and filtering to generate a baseline; calculating the offset of the curve and the baseline, and superposing the weight to generate and filter the upper and lower envelope lines; determining a feature inflection point based on the baseline second derivative extreme point, segmenting an envelope line according to the inflection point, and fitting a straight line by a least square method; and introducing a linear offset parameter fine-tuning fitting line segment, correcting a calibration point force value, and then connecting to form a rigid channel. The method realizes channel selection automation, reduces subjective errors, improves channel precision and efficiency, and is suitable for a barrier wall rigidity evaluation scene in a vehicle collision test.

The utility model discloses a testing device for a cell acupuncture test, and relates to the technical field of battery safety test. The cell acupuncture test device is provided with a test chamber, and further comprises a placement platform, an acupuncture assembly, a first driving mechanism, a second driving mechanism, a scrap container and an information collector, the placing platform is arranged in the test chamber and is used for placing a to-be-tested battery cell; the needling assembly is connected with the first driving mechanism, the needling assembly is installed in the test chamber by directly facing the battery cell on the placing platform, and the first driving mechanism can drive the needling assembly to perform a needling test on the battery cell; the second driving mechanism is used for driving the tested battery cell to move to a scrapping station or a standing station, and the scrapping station is provided with a scrapping container filled with saline water; the information collector is connected with the battery cell and used for collecting the temperature and voltage of the battery cell. According to the utility model, the battery cell without thermal runaway after the acupuncture test can be automatically scrapped, and the safety of the acupuncture test of the battery cell is improved.