134 results about "Test path" patented technology

The invention relates to the technical field of probe testing, in particular to a PCB flying probe test path optimization method based on electrical characteristics, which comprises the following steps: calculating accessibility scores of test points according to the distribution of board surface test points and elements to determine risk types of the test points; determining a risk area grade corresponding to the grid unit according to the accessibility score in combination with the potential shadow area; optimizing the test path of the probe according to the risk area grade corresponding to the grid unit, and adjusting the initial moving speed of the test path of the probe in different grid units; for the same moving time sequence of different probe groups, determining overlapped grids according to the initial probe angles and the test paths corresponding to the probes, and determining whether there is a collision risk between the probes in combination with the initial moving speeds of the probes in different grid units; and when a collision risk exists between the probes, corresponding adjustment measures are taken according to the number of the overlapped grids. According to the invention, the test path is optimized in combination with multi-dimensional design based on the electrical characteristics and testability of the board.

The invention discloses an AI test case intelligent optimization verification method and system, and the method specifically comprises the steps: employing a causal discovery algorithm to analyze an implicit dependency relationship for an entity association structure in a test case knowledge graph, recognizing redundant test cases and invalid test paths, and obtaining a causal dependency network; on the basis of a causal dependence network, traversing uncovered entity relationship paths in the test case knowledge graph, and generating supplementary test case suggestions; dynamically adjusting analysis strategy parameters according to historical optimization data through a self-adaptive engine to obtain an optimization test case set; and based on the optimized test case set, generating an input parameter variation sample by using a fuzzy test engine, and expanding a test boundary. According to the method, the black box test efficiency can be remarkably improved, the test coverage rate and accuracy are improved, meanwhile, the workload of a test engineer is relieved, the user experience is improved, and an efficient and intelligent solution is provided for the field of software test.

The invention relates to the technical field of geotechnical engineering intelligence, in particular to a multi-field coupling intelligent triaxial test method and system combined with machine learning, and the method comprises the following steps: initializing a test device, and establishing a material parameter prior distribution function; defining a target test path and obtaining a target control sequence; acquiring real-time test data through a multi-source fusion sensing array, and preprocessing the real-time test data to obtain multi-dimensional feature fusion data; establishing an online parameter identification module to obtain real-time correction material parameters; establishing a heat-water-force multi-field coupling prediction model to obtain an optimal control sequence; acquiring latest test data, and performing rolling optimization on the model to establish a lightweight control model; and generating an intelligent control instruction to realize self-adaptive intelligent control of the triaxial test. According to the invention, through combination with machine learning, the spanning of the triaxial test from experience control to intelligent control is realized, and an intelligent technical means is provided for the research of the multi-field coupling characteristic of the geotechnical material.

The invention discloses a road test route design method and system for an intelligent connected automobile, and the method comprises the steps: determining a full path based on starting point coordinate information and terminal point coordinate information, and processing the full path in combination with user path selection preference and historical test path preference data to generate a plurality of test paths; acquiring historical operation parameters and current operation parameters of path points in the test paths, inputting the parameters into a preset safety evaluation model to output a safety evaluation result, comparing, determining credible path points, and determining candidate test paths from the plurality of test paths according to the credible path points; and selecting a final test path from the candidate test paths according to a preset selection rule. According to the method, pertinence of path design is improved by combining user path selection preference and historical test path preference data, accuracy of safety evaluation is ensured by combining historical and current operation parameters, and scientificity and optimality of final test path selection are realized through a multi-stage objective screening mechanism.

The invention provides a domain controller test case intelligent generation method and system based on a knowledge graph, belongs to the technical field of automobile electronic testing, and is used for solving the problems of insufficient coverage rate, low efficiency and difficulty in knowledge inheritance of domain controller testing in related technologies. According to the method, a test knowledge graph fusing a functional architecture, historical data and expert experience is constructed, vector representation of nodes and relationships is learned by using a graph neural network, an optimized test path is generated through intelligent reasoning, then an extended test case is generated through a multi-dimensional generalization technology, and finally continuous optimization is performed through closed-loop quality evaluation. The test coverage rate and the design efficiency can be remarkably improved, and systematic precipitation and reuse of test knowledge are achieved.

The invention discloses an automatic penetration test path planning method and system based on agent collaboration, and relates to the technical field of network security. Performing initialization starting on the plurality of intelligent agents based on the penetration test target range; collecting the target system and writing the target system into a shared blackboard mechanism; matching the asset feature information with a preset vulnerability knowledge base according to the test strategy mode to generate vulnerability utilization conditions, and constructing a global attack graph according to the asset feature information and the vulnerability utilization conditions; generating an attack path based on the global attack map, executing an attack operation on the target system according to an attack step sequence of the attack path, when an execution result is failure, updating the global attack map according to a feedback failure result, and re-planning to generate a new attack step sequence; and when the execution result is successful, generating a penetration test report for the penetration test target range according to the success result. By implementing the method, the actual demand of deep security assessment of the complex heterogeneous system is met.

The application relates to a high-precision addressable ring oscillator test chip, method, device and medium, which comprises an addressing module, an output module and a plurality of ring oscillator test modules; the ring oscillator test module comprises a signal transmission module, a multifunctional test module and a plurality of ring oscillator test structures; the addressing module is used for selecting a ring oscillator test structure from the ring oscillator test structures of the plurality of ring oscillator test modules to perform a communication test; the multifunctional test module can switch the voltage compensation mode or the small-current test mode of the ring oscillator test structure based on a received control signal; when the characteristic parameters of the ring oscillator are measured, the voltage compensation mode can utilize voltage drop compensation to reduce the influence of the resistance voltage drop introduced in the test path, effectively improving the measurement precision, and the small-current test mode can effectively measure the static power supply current of the ring oscillator.

The invention discloses a large model security test method and device and a computer program product, and the method comprises the steps: firstly, screening out a target starting node with the highest semantic similarity with a target malicious query text from a pre-constructed state diagram database, and then when the value of the highest similarity is higher than a preset threshold value, starting the target malicious query text; a path multiplexing mode is adopted, a complete test path corresponding to the target starting node is directly multiplexed to test the target large model, and when the value of the highest similarity is not higher than a preset threshold value, a path exploration mode is adopted to search the target large model; and a new test path is generated by using a test strategy library, a guide large model, an attack large model and the like for testing (and is stored for subsequent direct multiplexing), so that effective accumulation and intelligent multiplexing of historical experience are realized, and repeated exploration is avoided. Compared with existing testing methods such as a static template, the testing efficiency is continuously improved along with experience accumulation, a complete closed loop of self-evolution is formed, and an ideal testing effect is achieved.

The invention relates to the technical field of computers, in particular to a test case generalization method for automobile network and data security, which comprises the following steps: collecting and preprocessing multi-source heterogeneous data, fusing the data to construct a dynamic risk feature model to extract an attack vector, and constructing a layered scene space based on real-time topology of a vehicle-mounted network; a two-channel generalization engine is utilized, unknown threat scene cases are generated by means of a structure causal model, and variation is injected into nodes of a protocol syntax tree to generate fuzzy test cases so as to enrich case types; a reinforcement learning framework is introduced to dynamically optimize a test path, and a closed-loop feedback mechanism is adopted to expand high-risk scene nodes, so that the multi-source heterogeneous data processing capability is effectively improved, the unknown threat simulation capability is enhanced, the test efficiency is improved, and the problem that a test method in the prior art is incomplete in multi-source heterogeneous data processing and poor in reliability is solved. The technical problems of influence on subsequent analysis accuracy, single test case generation type, lack of unknown threat simulation and low test efficiency in the prior art are solved.

The invention discloses a method and system for software automatic testing, and relates to the technical field of computer software testing, and the method comprises the steps: building a constraint initial test target set covering path input and output; dynamically adjusting a test case generation strategy for the demand document; and updating the reconstructed test case to the constraint initial test target set, and constructing a path priority for the second time to complete the software automatic test. According to the invention, the accuracy of test case generation and the demand coverage integrity are improved; dynamic weight distribution of a test path and self-adaptive adjustment of a test case generation strategy are realized, and the coverage capability on a deep path and a high-risk module is effectively improved; the response capability of the test system to frequent iteration and the reuse efficiency of test resources are enhanced, and the software automatic test with higher automation degree, stronger environmental adaptability and more comprehensive coverage is realized on the whole.

The invention discloses a method and device for determining a test path in a distributed system test scene, and relates to the field of distribution.The method comprises the steps that in the test process of a distributed system, interaction data between nodes of the distributed system is collected, and the interaction data at least comprises the calling direction, the calling frequency, delay and historical fault associated information; constructing a test coverage graph according to the interaction data, wherein the test coverage graph is used for representing interaction strength and potential risk information among the nodes; determining a target damping coefficient according to the weight volatility predicted by the neural network model for each node of the distributed system; determining the weight of the edge of the test coverage graph according to the interaction frequency, the average delay and the historical fault propagation probability among the nodes of the distributed system; and determining a test path of the distributed system according to the target damping coefficient and the weight of the edge of the test coverage graph. According to the method and the device, the problem of inaccurate test path selection in the existing distributed system test is solved.

The utility model discloses a power line detection protection device, electric connection equipment and electric equipment, a power line comprises a first current-carrying wire, a second current-carrying wire, a first shielding conductor and a second shielding conductor, and the detection protection device comprises a DC power supply module, a self-checking path module and a response processing module. The direct-current power supply module is electrically connected with one end of the first shielding conductor and one end of the second shielding conductor, and the other end of the first shielding conductor and the other end of the second shielding conductor are electrically connected with the ground end through the self-checking path module; the response processing module disconnects the power connection between the input end and the output end of the power line under the conditions that the first shielding conductor is open-circuited, the second shielding conductor is open-circuited and the first shielding conductor and / or the second shielding conductor detects an electric leakage signal; electric leakage detection of the power line and open circuit detection of the shielding conductor of the power line can be effectively and reliably realized.

This application discloses an interface dependency parsing and automated testing method, device, and storage medium, comprising: extracting the minimum path set of the target medical business scenario from the interface call sequence diagram based on the target medical business scenario; using the minimum path set as the test path, parsing the data dependency relationship of each interface in the test path, extracting data flow rules to generate test data; calling the interfaces of the test path according to the test data to generate integrity verification results; comparing the integrity verification results with the expected behavior of the interface call sequence diagram to locate abnormal test nodes; and identifying changes in the interface dependency relationship of abnormal test nodes. This application automatically constructs and dynamically updates the interface call sequence diagram from real call logs through a time sequence pattern mining algorithm, replacing manual dependency analysis. When business logic changes, the test path and data flow rules are re-extracted to ensure that the test plan is updated synchronously with the business, thereby reducing the maintenance cost of test scripts.

The invention relates to a flight control program intelligent adaptation method and system oriented to a heterogeneous processing architecture, and solves the technical problems of low efficiency, strategy solidification, difficulty in knowledge reuse and the like when a flight control program is manually transplanted to a domestic or novel chip in the prior art. And automatically generating a customization strategy containing environment configuration, a peripheral list, a test path and branch planning. Accordingly, a debugging environment is automatically deployed, a drive code is generated, and parallel development branches are initialized. An event-driven and dependent sensing mechanism is adopted, verification tasks are dynamically scheduled, code integration is coordinated, hardware abstraction layer configuration and interface codes are intelligently adjusted, a flight control program image is finally and automatically constructed, and efficient and reliable heterogeneous chip flight control program intelligent adaptation is achieved. The method has the following technical effects that automatic intelligent adaptation of the flight control program to the heterogeneous chip is realized, the transplantation efficiency and the code quality are greatly improved, and reusable adaptive knowledge assets are formed.

The invention relates to the technical field of game testing, and provides an automatic testing method and system for game software, and the method comprises the steps: obtaining a behavior target sequence of a testing path of a testing agent in a video game; the behavior target sequence comprises a plurality of behavior targets, the behavior targets are used for indicating test tasks needing to be completed by the test agent, and the behavior targets further comprise task physical environment information corresponding to the test tasks; when the test agent is controlled to execute a behavior target in the behavior target sequence, an operation instruction is determined according to the state information of the test agent and the task physical environment information, and the operation instruction is used for guiding the test agent to complete the behavior target; and controlling the test agent to execute the operation instruction. The test efficiency of the game software can be improved.

The invention discloses a parameter sensitive database fuzzy testing method and system based on combination testing, and the method comprises the steps: obtaining a coverage basic block set of each parameter through static taint analysis, generating a weight value of each parameter, and further determining a priority parameter combination set; training the condition generation probability of each SQL characteristic class under specific parameters through coverage rate feedback, and constructing a test sample generation scheme corresponding to the parameters; and finally, generating parameters and corresponding test samples through the weight data generated in the training stage, and checking execution results of the test samples through an oracle machine. According to the method, the parameter weight and the characteristic generation probability are adjusted through static analysis and the code coverage rate, intelligent scheduling of high-value test paths is achieved, the test efficiency and the coverage rate are improved, meanwhile, the problem of parameter combination space explosion is solved, and an innovative solution is provided for quality assurance and performance optimization of a database system.

The application discloses a compensation method of a test signal and a related device, and relates to the technical field of digital acquisition. After a data acquisition module receives a chip test signal to be compensated and a compensation coefficient index corresponding to the chip test signal, the compensation coefficient index is used to determine a compensation coefficient matched with the chip test signal to be compensated from a compensation coefficient set. Finally, the chip test signal to be compensated is processed based on the compensation coefficient, and a compensated chip test signal is obtained. The application pre-stores a compensation coefficient set composed of compensation coefficients corresponding to each test path in a switching module in the data acquisition module. After the data acquisition module receives a chip test signal of a measured chip and a compensation coefficient index, the corresponding compensation coefficient is matched from the compensation coefficient set for the chip test signal to compensate, so that the chip test signal sent through the test path in the switching module can be accurately compensated, and the accuracy of a chip test result is improved.

The application provides a test case automatic generation system based on a probability extended finite state machine, which can improve the efficiency and quality of test case generation, and finally generates test cases through probability selection on the processed PEFSM model. The system comprises a PEFSM model construction module, a removing unfeasible path module and a test case probability generation module. The PEFSM model construction module obtains relevant data for constructing a model from a user historical operation record database according to the requirement specification and interface design of a system under test, and outputs a PEFSM model describing the behavior of the system under test. The removing unfeasible path module takes the PEFSM model as input, adopts an evaluation path feasibility measurement method to identify and remove unfeasible paths in the PEFSM model, and outputs a reliable test path set formed by a transition path set. The test case probability generation module takes the reliable test path set as input, initializes context variables, and instantiates test paths in the path set to obtain test cases of the system under test.

This invention provides a method and system for testing the electromagnetic radiation immunity of components, relating to the field of electromagnetic immunity testing technology. The invention sets a range for the electromagnetic frequency and amplitude of the interference signal, generating multiple particles characterizing the interference signal within this range. Through iterative particle swarm analysis, it rapidly collects highly sensitive sample points that cause functional abnormalities in components during electromagnetic interference testing. By clustering these highly sensitive samples, it locates the electromagnetic interference sensitive range of the target component. Compared to full-band scanning and fixed-point scanning methods for electromagnetic interference testing, this invention enables automated and quantitative extraction of the electromagnetic sensitivity range, reducing subjective bias from manual location and improving analytical consistency and repeatability. Furthermore, by focusing on highly sensitive frequency bands and field strength ranges, it optimizes the test path, reduces redundant scanning points, and significantly improves the efficiency of electromagnetic interference testing.

The invention discloses an automatic framework design method and system for a chip test system. The method comprises the following steps: step 1, obtaining functional module structure information of a target chip and constructing a chip function map; 2, extracting the embedded representation of each node through a graph neural network, and carrying out aggregation; 3, receiving test target information input by a user to generate a test intention vector, and performing similarity matching; step 4, performing Markov decision based on the test starting node to generate a test path sequence; 5, test excitation and response acquisition are sequentially carried out on the corresponding function modules of the target chip; and step 6, constructing a fault causal map through an improved AMIE + causal reasoning model, and identifying a fault root cause module to generate a test path adjustment suggestion. According to the method, the Markov decision and the improved AMIE + causal reasoning model are fused, and intelligent generation and root cause positioning of a chip test path are realized.

The test tool comprises a supporting cylinder and a supporting frame, the supporting frame comprises a supporting plate, a supporting piece and a containing box body, a plurality of mounting positions are formed on the containing box body, on the basis, one atom magnetometer can be arranged in the mounting position of each containing box body in the using process, and therefore the atom magnetometers can be arranged in the mounting positions of the containing box bodies. And then the accommodating box body is arranged on the supporting piece, and the supporting frame can be pushed to the middle area of the supporting cylinder through the sliding connection of the supporting plate and the sliding rail, so that the performance of a plurality of atom magnetometers can be detected. The test tool of the atom magnetometer provided by the embodiment of the utility model is convenient to disassemble and assemble while reducing the installation complexity, and meets the enough high test efficiency and precision. The problems that when a magnetometer is tested in a small shielding barrel, disassembly and assembly are not convenient, and the number of parallel test paths is small are solved, and the test efficiency is improved.

The application relates to an interactive test scene generation method, which comprises the following steps: acquiring the current state of each traffic participant, the test path of a test vehicle, and the current interaction relationship between each traffic participant and the test vehicle, and generating trajectory noise based on Gaussian distribution; for each traffic participant, the following steps are performed: generating the front segment trajectory and the switching point thereof of the traffic participant and the rear segment diverse trajectory bundle of the traffic participant by using a Transformer model and a conditional diffusion model respectively based on the above data; verifying the feasibility and consistency after splicing the front segment trajectory and the rear segment diverse trajectory bundle at the switching point, and selecting an interaction trajectory according to requirements if the verification is satisfied; if all test tasks are completed or a collision occurs after each traffic participant performs the interaction trajectory, the test is ended, and an interactive test scene is generated according to scene data; otherwise, the front segment trajectory and the rear segment diverse trajectory bundle are regenerated. Compared with the prior art, the application can generate a more accurate and real interactive scene.

The invention discloses an intelligent self-service pure tone threshold test method and device and a medium, and relates to the technical field of threshold test, and the method comprises the steps: executing a pure tone threshold test process based on an information gain selection mechanism according to the recognition difficulty level in noise, the matching degree score and a pure tone threshold test starting strategy, the key pressing behavior of the testee is judged in real time in combination with the personal operation rhythm template, the hearing threshold estimation result of each frequency band and the corresponding uncertainty index and behavior event mark are output, and fixed-point deviation correction complementary measurement and weight correction are carried out based on the hearing threshold estimation result of each frequency band, the uncertainty index and the behavior event mark; obtaining a final hearing threshold result and an overall credibility grade; by establishing the candidate test set and introducing the pure tone threshold measurement process based on the information gain selection mechanism, the dynamic adjustment of the test path according to the hearing threshold estimation result and the uncertainty index of each frequency band is realized, and the test efficiency and the result stability are improved.

The invention provides a radio frequency test control system and a radio frequency test method. The radio frequency test control system comprises an upper computer used for sending a control instruction of a radio frequency test task; the data processing system is connected with the upper computer and used for providing level and time sequence control for the radio frequency test task and generating a path switching instruction of the radio frequency test task based on the control instruction; the test daughter board is connected with the data processing system and used for providing a radio frequency test task test piece so as to execute a radio frequency test task; the coaxial switch is connected with the test daughter board and used for switching a radio frequency test path based on the path switching instruction; the data acquisition system is connected with the test daughter board through a coaxial switch, communicates with an upper computer through a network, and is used for acquiring test data of the test piece and sending the test data to the upper computer; and the power supply system is used for providing a plurality of working power supplies with different voltages so as to provide working voltages for the radio frequency test control system.

The application relates to the technical field of power system automation, and discloses a substation programmed operation ticket execution logic sequence test method, which comprises the following steps: through analysis of a substation configuration description file, a five-prevention logic configuration file and an operation regulation, extracting device classes, state classes, operation classes and rule class entity nodes and topology connection, electrical association, state, precondition, locking and subsequent operation relationship edges, and constructing a substation operation knowledge graph; and adopting a mixed strategy to generate a test path, including a forward search algorithm based on state space transition. The substation programmed operation ticket execution logic sequence test method aims to solve the problems that in the prior art, manual design of test cases is difficult to achieve comprehensive coverage of a complex state space, lacks a systematic path generation mechanism, and cannot effectively construct an abnormal test scene.

The embodiment of the specification relates to the technical field of repeater testing, and provides a repeater radio frequency performance testing method, device, system and equipment, which comprises the following steps: receiving a to-be-tested index input by a user on an interactive interface; obtaining to-be-tested repeater equipment parameters, and configuring test parameters for a testing instrument according to the to-be-tested repeater equipment parameters; matching a target test case from a test case set according to the to-be-tested index; determining a test path according to the target test case; executing the target test case according to the test parameters and the test path to obtain a radio frequency performance test result; and judging whether the radio frequency performance test result meets a preset standard. Through the embodiment of the specification, the efficiency and accuracy of repeater radio frequency testing can be improved.

The invention relates to the technical field of link pressure testing, in particular to a pressure testing method and system based on artificial intelligence. Comprising the following steps: setting a plurality of service sub-links based on system parameters; generating a first-level request table according to the obtained production flow data, and constructing a plurality of test paths according to the first-level request table and all service sub-links; setting a first-level test strategy according to all the test paths, and judging whether a correction instruction of the first-level test strategy is generated or not according to a feedback result; by periodically collecting the production flow data, dynamically analyzing the pressure test requirements of the full link and setting a first-level debugging strategy according to the operation characteristics of each to-be-tested path, the overall fault reproduction rate and the pressure test efficiency of the full link in the system are improved. And meanwhile, the test flow is prevented from interfering with the normal production flow by dynamically adjusting the shunting sub-model of each service sub-link, and the pressure test precision of the whole link is improved.

The invention relates to a PCDU automatic impedance testing system and method based on DAQ970, belongs to the technical field of spaceflight electronic testing, and designs a PCDU automatic impedance testing system and method based on DAQ970, and belongs to the technical field of spaceflight electronic testing. The system comprises a DAQ970A data acquisition unit, an extensible switch matrix, a dynamic compensation correction circuit and an upper computer software platform. A to-be-tested channel is gated through the switch matrix, after the DAQ970A collects original impedance data, the impedance error of a test path is eliminated in real time through the dynamic compensation correction circuit, and automatic test process control and data interpretation are achieved through upper computer software. According to the invention, the problems of low efficiency and poor precision of the traditional manual test are solved, the milliohm-level impedance test of more than 120 cores and multiple interfaces is supported, the error is less than or equal to 0.1 m omega, the test rate reaches 40 channels per second, and the quality verification efficiency of the spacecraft power supply system is obviously improved.

The invention relates to an actual road evaluation method and device for the running safety of an intelligent networked automobile, and relates to the field of actual road testing of the intelligent networked automobile. According to the technical scheme, the test road is evaluated, the test vehicle ODD is matched, the test path is precisely planned, a driver test score deduction mode is used for reference, an evaluation system integrating manual and automatic evaluation is constructed, evaluation is ensured to be comprehensive and objective, variables such as road difficulty and scene randomness are included in the scheme for solving the problem of comparability of the evaluation result, and the evaluation accuracy is improved. Differences are eliminated through normalization processing, and the pain points that actual road evaluation is large in randomness and results are difficult to compare are overcome. Under the condition, transverse comparison of results of different vehicles under different roads and environments is achieved, the fair evaluation requirement of a third-party mechanism is met, data support is provided for a management department to comprehensively analyze the test condition of the whole industry, and standardized development of intelligent network connection vehicle evaluation is assisted.

In one implementation, a device may obtain telemetry data from Layer-2 network devices on a test path trace of a computing network. The device may generate, based on the telemetry data, a correlation of the Layer-2 network devices with Layer-3 path trace data. The device may determine, based on the correlation, a Layer-2 path for the test path trace on the computing network. The device may integrate the Layer-2 path with the Layer-3 path trace data to generate an enriched path trace to identify a root cause of a performance degradation in the computing network.