8190 results about "Test equipment" patented technology

The invention relates to the technical field of probe testing, and discloses a probe testing device and method, and the method comprises the steps: carrying out the synchronous collection of the electric signal response characteristics of a plurality of chip testing probes in a chip contact process, analyzing the signal transmission interference relation between the probes, and obtaining a multi-probe signal coupling feature pattern; identifying a target signal transmission channel to obtain a first test probe configuration scheme; performing test signal input and response acquisition on the chip to obtain electrical characteristic time-frequency data of the chip; and performing multi-probe collaborative analysis and feature extraction on the time-frequency data of the electrical characteristics of the chip to obtain abnormal indication information of the electrical performance of the chip, and adjusting test parameters and contact positions of a plurality of chip test probes to obtain a configuration scheme of a second test probe. Therefore, the test system can intelligently adjust the subsequent test strategy according to the preliminary test result, and the intelligence and automation of the test process are realized.

The invention relates to the technical field of intelligent control of test equipment, and discloses a semiconductor device test equipment control system and method based on industrial data processing, and the method comprises the steps: collecting multi-source heterogeneous data of semiconductor device test equipment, and carrying out the preprocessing; constructing a structural causal model, and performing root cause identification through anti-fact reasoning by using the structural causal model; constructing an abnormal test fingerprint and a knowledge base; generating an intervention scheme, evaluating the generated intervention scheme, and selecting an optimal intervention scheme; processing the detected anomaly, and generating and implementing a preventive control strategy based on historical anomaly data and a causal analysis result; according to the invention, by introducing innovative technologies such as causal inference, anti-factual inference, abnormal test fingerprint identification and Monte Carlo tree search, intelligent control of semiconductor test equipment is realized.

The invention discloses an integrated circuit chip test system based on an AI algorithm, and relates to the technical field of integrated circuit chip testing, the integrated circuit chip test system comprises a chip test platform, the chip test platform is in communication connection with the following modules: a data acquisition module, which is used for collecting historical test data from existing integrated circuit chip test equipment, and sending the collected historical test data to the chip test platform; carrying out preprocessing and integration on the chip test data set to obtain a chip test data set; and the model training optimization module is used for analyzing the chip test data set, learning the relationship between the chip performance and the test vector, and training a test vector AI optimization model. According to the method, by analyzing historical test data and automatically generating the optimized test vector, a redundant item-by-item test process in a traditional test is avoided, key test nodes are accurately positioned through the test vector AI optimization model, and unnecessary test steps are reduced, so that the test time is remarkably shortened, and the test efficiency is improved.

The invention discloses a multi-parameter measurement system and method for a power frequency non-partial discharge test transformer, and relates to the technical field of state monitoring of high-voltage test equipment and power equipment, and the system comprises a synchronous trigger unit which is connected to a power frequency voltage signal collection end and is used for detecting a zero crossing point of a power frequency voltage signal and generating a synchronous trigger signal, a power frequency period is divided into a plurality of sub-windows with equal phase angles. According to the multi-parameter measurement system and method for the power frequency non-partial discharge test transformer, the problem of phase mismatch of a power frequency signal and a high-frequency partial discharge signal in traditional multi-parameter measurement is effectively solved through a power frequency phase locked synchronous trigger mechanism and a dynamic noise suppression technology; and the positioning precision of the partial discharge source and the insulation defect diagnosis reliability are improved. The nanosecond-level time sequence error control is realized, and the power frequency coupling interference is inhibited while the details of the high-frequency pulse are kept by combining a phase correlation dynamic filtering strategy, so that the signal-to-noise ratio of the weak discharge signal is improved.

The invention provides a consistency test method and device for single-to-wire communication, and the method comprises the steps: receiving a communication signal transmitted by a tested device, extracting a time domain feature, a frequency domain feature and a modulation feature of the communication signal, generating a protocol feature value, carrying out the dimension reduction processing, and generating a protocol feature vector; performing matching degree analysis on the protocol feature vector and a predefined mapping dictionary, and determining a target communication protocol type with the highest matching degree; based on the determined communication protocol, dynamically generating a consistency test flow through a pre-trained neural network model; configuring a signal generator to inject an excitation signal according to the test flow, and synchronously acquiring various parameters of the tested equipment; based on the real-time feedback data, dynamically adjusting the signal amplitude, frequency and judgment threshold through a pre-trained neural network model; and summarizing feedback data of multiple rounds of tests, and generating a test report of the consistency index. According to the method, the protocol of the tested equipment can be automatically identified, the test flow is generated for the protocol, and the test efficiency is effectively improved.

The invention relates to the technical field of data processing, and discloses an operation state monitoring method and system for vibration test equipment. The method comprises the following steps: generating a multi-dimensional physical characteristic data stream through vibration waveform calibration according to operation parameters collected by each sensor of vibration test equipment; performing frequency response analysis on the data stream to obtain physical response characteristics; based on this, a test calibration reference is established; outputting test state parameters according to the reference analysis real-time response characteristics; and performing performance attenuation analysis according to the parameters, and generating an equipment quality evaluation report. According to the comprehensive analysis method based on the multi-dimensional physical characteristic data flow, real-time monitoring, multi-parameter joint evaluation and performance attenuation trend analysis of the dynamic characteristics of the equipment are achieved, so that the accuracy, comprehensiveness and predictability of state monitoring of the vibration test equipment are improved, and the reliability and consistency of test results are ensured.

The invention discloses a rapid calibration method and system for automatic testing equipment of a vehicle machine, and relates to the technical field of automatic calibration, and the method comprises the steps: inputting a preset standard calibration signal to the testing equipment, and collecting the response data of each testing channel of the equipment as calibration reference data; comparing the calibration reference data with a built-in standard reference value of the equipment, and calculating deviation data of each test channel; based on the deviation data, calibration parameters of each channel are calculated, and the calibration parameters comprise a gain compensation coefficient, a frequency compensation coefficient and a phase compensation coefficient; the calibration parameters are loaded to the corresponding channels of the test equipment, a preset standard calibration signal is input for verification test, and when errors of the channels are smaller than a preset residual error threshold value, calibration is completed, and the calibration parameters are stored. By establishing the gain-frequency-phase joint compensation model and combining the parallelization verification and increment optimization algorithm, the high-precision rapid calibration of the automatic test equipment of the vehicle machine is realized.

The invention relates to the field of electric power material quality detection, and discloses a test scheduling system for detection task collaboration and data acquisition, which comprises a task construction module, a state collaboration module, a graph reasoning module and a data acquisition module. And the task construction module generates a standardized test task packet including a task identifier, a project code, a target equipment identifier, an environment requirement parameter and a two-dimensional code according to the test rule base and the resource configuration state, and pushes the standardized test task packet to corresponding test equipment through a Web Service interface. And the state collaboration module receives an equipment state feedback event, constructs an event time sequence flow graph based on the task identifier and generates a task state sequence with a timestamp. The atlas reasoning module takes the state sequence and the environmental parameters as input, constructs a test atlas structure and generates an optimization execution path. And the data acquisition module controls the test equipment to complete a detection task according to the path, acquires test data and environmental parameters, and encapsulates the test data and the environmental parameters to form a structured task data packet, thereby realizing data collection and task tracing.

The invention relates to the technical field of chip verification, and discloses a chip verification method, test equipment and a chip verification system.The method comprises the steps that a template file is built, a verification environment and a test case are generated based on the template file, a configuration file is obtained, and parameters in the verification environment and the test case are updated through parameters in the configuration file; according to the method, the verification environment and the test case are updated, the updated verification environment and the updated test case are obtained, regression testing is carried out on the chip on the basis of the updated verification environment and the updated test case, the test result is obtained, the verification environment can be rapidly generated on the basis of the template file, parameters can be rapidly replaced, and the chip testing efficiency is improved.

The embodiment of the invention provides a mechanical arm insertion and extraction control method and device, test equipment and a storage medium, and the method comprises the steps that sensor data for sensing the working environment of a mechanical arm is received, and the working environment is the environment where the mechanical arm executes insertion and extraction operation on a target interface; according to the sensor data, the tail end acting force of a tail end executor of the mechanical arm and the pose of the target interface are determined; and under the condition that any one of the tail end acting force and the pose of the target interface is abnormal, control parameters of the mechanical arm are adjusted. According to the embodiment of the invention, the detection results of the visual sensor and the force / torque sensor are fused, the process of executing the plugging operation of the mechanical arm is monitored in real time, and once the target interface pose or the tail end acting force is abnormal, the motion track of the mechanical arm is immediately corrected and the insertion force is adjusted, so that self-adaptive adjustment is realized; and the success rate and the automation level of the plugging task are effectively improved.

The invention provides low-carbon fuel blending coupling combustion test equipment and method, and the equipment comprises a blending fuel feeding system which is used for blending solid-phase, liquid-phase and gas-phase low-carbon fuels with fossil solid fuels or other solid fuels in proportion; the one-dimensional combustion furnace is used for coupling combustion of the blended fuel; the flue gas treatment system is used for carrying out cooling, dust removal, desulfurization, denitration and carbon dioxide adsorption and trapping treatment on flue gas generated by coupling combustion; the control cabinet is used for controlling the stable and safe operation of the whole experiment platform; the low-carbon coupling combustion test system and method and the coupling combustion low-carbon technology have the beneficial effects that the coupling combustion condition that the actual boiler is internally mixed with low-carbon fuel is simulated by adopting a feeding and conveying mode of accurately controlling the blending combustion proportion, and the low-carbon coupling combustion test system and method and the coupling combustion low-carbon technology are formed; the device has multiple innovative functions of controlling the blending combustion ratio, efficiently coupling combustion, comprehensively purifying flue gas, adsorbing and trapping carbon dioxide, saving energy, reducing carbon and the like.

The invention belongs to the field of rock-soil mechanical test equipment, and particularly discloses a shear slip test device for testing mechanical properties of high-temperature fractured rock mass, which comprises a shear test platform, a shear test box, a sound wave emission system, and a temperature control module and a circulating cooling system integrated in the shear test box. The shear test platform realizes independent control of normal force and shear force through a first loading block and a second loading block; the temperature control module and the circulating cooling system can simulate a high-temperature environment and perform a cold and hot cycle test; the acoustic emission system is used for monitoring acoustic emission signals in the rock sample in real time. The device can accurately simulate a high-temperature and cold-hot cycle environment, has high-precision mechanical loading capacity and a multi-parameter monitoring function, provides an effective experimental means for researching the mechanical property and damage mechanism of a high-temperature fractured rock mass, and can be widely applied to the research fields of deep geothermal resource development and enhanced geothermal systems.

A system for accidentology-based measuring of accident risk-indexing score values for a motor vehicle to be tested providing a measured accident probability value for an occurrence of an accident event having a physical impact to the tested motor vehicle. The system includes a driving scenario module, a test setting module, and a scoring module. The driving scenario module is configured for determining various driving scenarios for the motor vehicle by defining a set of measurable scenario characteristics, which include at least one ADAS variable. The test setting module is configured for determining a test setting in form of a multi-dimensional test matrix, which includes testing protocols for each of the measurable scenario characteristics for providing measured values of measurable scenario characteristics of the various driving scenarios. The scoring module is configured for generating the risk-indexing score by receiving the multi-dimensional test result signal and a historical data information signal.

The invention provides an automatic network protocol testing method and system based on a large language model. According to the method, through three core technologies of structured protocol specification extraction, hybrid test case generation and retrieval feedback enhanced code generation, full-process automation from a protocol specification document to an executable test code is realized. The method comprises the following steps: firstly, carrying out preprocessing and structured analysis on an RFC document, and extracting protocol field information and state machine description; a complete test case covering normal, abnormal and boundary conditions is automatically generated based on protocol elements; and finally, an initial test code is generated in combination with a test equipment API document retrieval result, and multi-round iterative optimization is performed through running log analysis and an experience knowledge base. Compared with the prior art, according to the scheme, an end-to-end automatic test work chain is achieved, new protocol testing can be adapted without manual protocol modeling, meanwhile, a large language model and expert experience are fused through a feedback mechanism, and the test efficiency and the code quality are remarkably improved.

The invention discloses a multi-dimensional intelligent analysis and fault traceability system for ACU final test data, and relates to the technical field of data analysis. The multi-source heterogeneous data acquisition module is used for acquiring operation parameters, function test data and assembly data through a CAN bus, test equipment and a production system, and is provided with a high-precision timestamp; the data cleaning and preprocessing module is used for standardizing data, filtering and denoising, synchronizing time and complementing missing values; the multi-dimensional feature extraction module is used for extracting features from a time domain, a frequency domain, a time sequence and a space; the intelligent fault diagnosis module is used for classifying faults by using a random forest and a D-S evidence theory and evaluating severity; the fault traceability reasoning module is used for constructing a fault propagation graph and positioning root causes through a Bayesian network; and the visual display and early warning module is used for generating a three-dimensional fault tree and a thermodynamic diagram and triggering graded early warning. According to the invention, the fault detection rate and traceability efficiency are improved, the false alarm rate is reduced, early warning is realized, the ACU test process is optimized, and the product quality and safety are guaranteed.

A natural language-based no-code test automation system is provided. The test automation system includes natural language-based test cases and an app description file including a natural language description of a particular test application run on test devices. An intelligent test execution engine includes an orchestrator configured to convert the natural language-based test cases into actions to be performed for testing the test application on the test devices using the app description file and a large language model subsystem implementing large language models. The orchestrator maps each of the actions to a corresponding test application interface call in the test automation system using one or more of the large language models, and automatically tests the test application by iteratively executing each of the actions via the corresponding test application interface call.

The invention relates to a fault diagnosis method, system and device for a chip test equipment control circuit, and the method comprises the steps: obtaining an operation parameter set of the chip test equipment control circuit, carrying out the abnormal threshold matching, and obtaining a fault classification result; performing power supply dynamic signal tracking on the chip test equipment control circuit based on the fault classification result to obtain power supply deviation data, and extracting a static offset set of the chip test equipment control circuit; performing internal failure association on the power supply deviation data and the static offset set, and performing peripheral failure association identification on the chip test equipment control circuit to obtain a diagnosis data set; and constructing a hierarchical fault tree according to the diagnosis data set, and performing peripheral root cause matching on the chip test equipment control circuit to obtain fault positioning information. According to the invention, the propagation path and the influence range of the fault can be comprehensively analyzed, and the fault positioning accuracy is improved.

The invention provides a construction site monitoring method and system based on Beidou positioning and digital twinning, and relates to the technical field of highway construction supervision. According to the invention, real-time position information of equipment, personnel and vehicles on a construction site is accurately obtained through a Beidou positioning technology, and an equipment and personnel dynamic model and a traffic dynamic model are constructed in combination with vehicle passing data collected by road test equipment. And fusing the dynamic model with a pre-constructed construction site environment model by using a digital twinning technology to generate a high-precision construction site digital twinning model. According to the model, real-time three-dimensional visual monitoring of a construction site is realized, external intrusion and internal collision risks are effectively prevented, illegal behaviors of not wearing a safety helmet and the like are identified in combination with AI, and accident tracing is realized through the Internet of Things. The construction site can be comprehensively monitored without manual inspection, and the safety and inspection efficiency of highway construction are remarkably improved.

A test method, system, apparatus and device for an energy storage control system, and a storage medium. The test method comprises: receiving test indication information (S201); on the basis of the test indication information, simulating an associated device connected to a device to be tested in an energy storage control system, and determining simulation-associated parameters (S202); and on the basis of the simulation-associated parameters and the test indication information, testing the device to be tested, and receiving a test result of the device to be tested (S203). A test device (104) can implement the simulation of any device associated with a device to be tested in an energy storage control system. Specifically, interface implementations and function execution logic implementations of any device can be simulated, and the simulated interface implementations or function implementations are implemented by means of simulation-associated parameters. Therefore, the test process is not limited to testing a specific type of device to be tested, and multiple types of tests can be implemented, thereby improving the applicability of the test method to a certain extent.

The invention discloses tendon rope transmission system performance integrated testing equipment and a transmission system testing method, and belongs to the technical field of robot part testing. The equipment comprises a rack and a performance testing device, wherein the performance testing device comprises a mounting plate provided with an arc-shaped guide rail chute, a core shaft used for simulating a bending radius, a position adjusting mechanism used for accurately positioning the core shaft and clamping a tendon rope jacket, at least one linear driving mechanism capable of adjusting an angle along the chute, and a counterweight mechanism. A clamp of the linear driving mechanism clamps one end of an inner core of the tendon rope, the counterweight mechanism is connected with the other end of the inner core, the middle part of the tendon rope bypasses the mandrel, and the reciprocating motion applied by the linear driving mechanism is matched with the constant tension applied by the counterweight mechanism so as to simulate the working condition of the tendon rope under a specific bending radius and angle.

The invention discloses a vehicle rolling protection structure test device and method, and the device comprises a to-be-tested protection frame, a portal frame and a platform, the portal frame is provided with a test unit for testing, the protection frame is disposed on the platform, and the test unit is started to test the protection frame. The test unit comprises a telescopic piece, a displacement sensor and a tension and compression sensor. The invention provides vehicle rolling protection structure test equipment and a test method, which can independently perform protection force detection on a protection frame in a design process, facilitate timely correction and acceleration of the design process in the design process, improve the design quality, perform mechanical stress detection on the protection frame after a conventional test is completed, and improve the reliability of the protection frame. The test protection can bear a great acting force in a limit state, and further data support is provided for subsequent improvement.

The invention discloses a method, a system and equipment for predicting the stability of integrated circuit test equipment and a medium, and belongs to the technical field of integrated circuit test. The method comprises the following steps: firstly, carrying out preprocessing and feature selection on historical data in an FT test stage, and adopting a Gaussian mixture model (GMM) to cluster and identify different operation condition clusters of a test machine; then, establishing a health state GMM reference for each working condition cluster, calculating a KL divergence value of a normal sample and the reference, and setting a dynamic anomaly detection threshold by 99.73% quantile of the KL divergence value; and finally, in real-time monitoring, calculating a KL divergence value of real-time data and a corresponding working condition cluster benchmark, and comparing the KL divergence value with a dynamic threshold value to realize accurate anomaly marking. The method effectively solves the problem of abnormal detection of the test data of the integrated circuit under complex and changeable working conditions, and improves the monitoring accuracy and working condition adaptability.

The invention relates to a four-probe flying probe test equipment path optimization method and device and a storage medium. The method comprises the steps that a task input module receives basic constraint conditions and test task information; if a fixed grouping mode is adopted, the four probes are fixedly divided into two groups according to basic constraint conditions, the distances of the two groups of probes from the current test task to the optional next test task are sequentially calculated, and the moving path of each group of probes is planned; if a variable grouping mode that the probes are allowed to change groups in the testing process of each step is adopted, an optimization objective function of each step of each probe is calculated in sequence, and a moving path of each probe is planned; and according to the planned moving path of each probe, the control execution module controls each probe to move in sequence to complete a test task. The constructed mathematical model more comprehensively and accurately reflects the actual situation of the four-probe flying probe test, provides a more reliable theoretical basis for path optimization, and is beneficial to improving the optimization precision of the test path.

The invention belongs to the technical field of ocean geotechnical engineering, and discloses full-strain range soil body strength characteristic testing equipment and a testing method for simulating a deep sea temperature and pressure environment. The system comprises an integrated probe, a stepping motor, a linear module, a hollow probe rod, a torsion module, a loading platform, a sample box, a water depth simulation system and a temperature control system. The hydraulic source and the temperature controller are used for simulating the deep sea low-temperature and high-pressure environment, the simulation effect is good, soil sample visualization is achieved, static sounding and vane shear tests are combined by designing the integrated probe, the soil permeability coefficient, the consolidation coefficient, the undrained shear strength and the sensitivity are measured, the precision and the efficiency of soil parameter analysis are improved, and the method is suitable for popularization and application. And data complementation, efficiency optimization and precision improvement are realized.

In some implementations, a device may obtain, via a notebook repository, one or more training notebooks that are associated with respective pipeline types of the container orchestration platform. The device may extract, from the one or more training notebooks, one or more executable code elements, to obtain one or more sets of executable code for respective training notebooks of the one or more training notebooks. The device may insert testing information into respective sets of executable code of the one or more sets of executable code to generate one or more test pipelines. The device may perform, via the container orchestration platform, one or more cluster tests using respective test pipelines from the one or more test pipelines. The device may provide, for display, result information indicating results of the one or more cluster tests.

The invention relates to the technical field of visual control, in particular to a picture defect test equipment control system and method, and the system comprises a difference tensor construction module, a space-time constraint construction module, a strain response judgment module, a coupling focusing mapping module and a boundary stability evaluation module. According to the method, the multi-dimensional difference incidence relation is constructed by extracting the pixel gray difference value, the brightness gradient and the chrominance phase angle, and fine brightness fluctuation and color shift in a picture can be captured. The superposition of the time-space change rate enables the dynamic performance of image defects to be distinguished, and continuous and transient anomalies can be effectively recognized. And in combination with tensor strain ratio and difference amplitude analysis, an abnormal region can be adaptively recognized, and neglect of a traditional method on a complex scene is avoided. The weighted aggregation of the local energy response improves the stability of the defect boundary, ensures the accurate positioning and judgment consistency of the image defect, and significantly improves the reliability and accuracy of the detection result especially in dynamic change and complex illumination environments.

The invention, which relates to the technical field of equipment simulation testing, discloses a simulation evaluation method for automatic testing equipment of an in-vehicle infotainment system, and the method comprises the steps: collecting operation test data, carrying out the recognition processing through a deep convolutional neural network model, obtaining test task data, constructing a test action sequence, mapping the test action sequence into a control instruction, and carrying out the simulation evaluation of the in-vehicle infotainment system. The control instruction is optimized and adjusted according to a preset action rule base; driving the in-vehicle automatic test equipment to execute the control instruction to complete the test operation, recording the operation response time and interface state change data in the test process, calculating a movement track deviation value, calculating a test accuracy score, and when the test accuracy score is smaller than a preset threshold value, starting the in-vehicle automatic test equipment; and if not, supplementing the optimization parameters to the preset action rule base and triggering a new test. According to the invention, accurate control of the test equipment is realized by adopting the TCP / IP communication protocol, and the test strategy is continuously optimized by dynamically updating the preset action rule base, so that the automatic test efficiency of the vehicle machine is improved.

The invention relates to the technical field of wafer test equipment, in particular to a heating aging test tool which comprises a storage rack and further comprises a wafer clamp placed on the storage rack. The detection assembly comprises a plurality of elastic probes located on one side of the storage rack and a heating disc; and the hot air guide assembly comprises a ventilation male head arranged on one side of the heating disc, an air guide pipe is arranged on the side, away from the ventilation male head, of the heat conduction cover, the air amount in the cavity is gradually decreased from near to far away from the air guide pipe, and the air flow speed is gradually decreased. A hot air flow guide assembly is arranged on a conveying frame, heat of a heating disc is guided to the position above a wafer through airflow through a heat conduction cover, the space above the wafer is divided into a plurality of cavities, the space size and the space shape of each cavity are set, the air flow speed and the contained hot air amount of each space are adjusted, and therefore the heat conduction efficiency of the wafer is improved. The influence of heat loss in the air flow process is reduced, so that the heating effects of all parts of the wafer are similar, and the detection effect is improved.

The invention relates to the technical field of signal testing, in particular to a receiving end testing device of an OLT optical module. Comprising at least four independent error code test units capable of working in parallel, and is used for generating a high-speed test signal and analyzing the error rate of a receiving end; a burst signal control module which is connected with the multi-channel continuous error code test module and is used for dynamically generating a burst control signal, a reset signal and a trigger signal corresponding to each channel and realizing synchronous calibration of the multi-channel error code test through sequential control; and the protocol adaptive module is embedded in the burst signal control module and automatically configures a burst period, an optical power threshold value and a reset time sequence according to a GPON / XGPON / XGSPON protocol. The receiving end test equipment of the OLT optical module can realize efficient test and is relatively low in test cost.

The invention belongs to the technical field of semiconductor defect detection, and relates to a deep learning-based deep energy level defect identification method, system and device, and a medium. According to the method, transient curve data of an external capacitor is modulated to obtain a time sequence feature vector containing time, temperature and bias voltage information, then a multi-defect-induced weighted capacitor feature vector is obtained through calculation and modulation of a neural network model, and the time sequence feature vector and the multi-defect-induced weighted capacitor feature vector are trained after being spliced. Until the neural network model converges, the trained neural network model predicts a defect parameter vector, defect weight distribution and transient capacitance response at the (i + 1) th moment at the ith moment; according to the method, DLTS test data is modeled and analyzed in combination with a deep learning algorithm and a semiconductor deep energy level defect kinetic model, precise recognition and quantification of a complex defect system are achieved, the problem that defect recognition precision is insufficient in an existing DLTS test method is solved, and meanwhile the method is low in requirement for test equipment and high in applicability.