50 results about "Real-time testing" patented technology

The invention discloses a flash memory grade test method, device and equipment and a medium. The method comprises the following steps: acquiring real-time test values respectively corresponding to flash memory core parameters and test environment parameters of flash memory equipment; wherein the flash memory core parameters comprise erasing times, and the test environment parameters comprise temperature parameters; performing normalization operation based on the real-time test value to obtain a normalized weight coefficient; dividing a preset value interval to obtain a plurality of weight subintervals, and determining a target original bit error rate grading threshold list based on the normalized weight coefficient and the plurality of weight subintervals; and obtaining a real-time original bit error rate, and determining a target flash memory level of the flash memory device based on the real-time original bit error rate and the target original bit error rate grading threshold list. According to the technical scheme, the dynamic influences of the flash memory core parameters and the test environment parameters are integrated, a real-time dynamic grading mode is constructed, and accurate judgment of the flash memory grade of the flash memory equipment is achieved.

The invention relates to the technical field of cable detection, and discloses an automatic cable test method and system based on multi-modal data fusion, and the method comprises the steps: synchronously collecting an electrical performance test signal and structural integrity image data of a cable, and generating a time-aligned synchronous test data set; respectively extracting electrical parameter characteristics and structural form characteristics from the synchronous test data set, and generating a multi-modal characteristic set by establishing an association mapping relation between the electrical parameter characteristics and the structural form characteristics; constructing a dynamic association network between features based on historical fault data, identifying a degradation feature mode representing progressive degradation of performance from the multi-modal feature set, and generating a feature degradation track describing a performance degradation rate and path; according to the method, dynamic risk assessment and grading are completed by integrating the life prediction result and the feature abnormal points in the real-time test, and finally a quality assessment and early warning report with both accuracy and timeliness is output.

The application relates to the fields of artificial intelligence and digital medicine, and proposes a deep learning model self-adaptive testing method based on artificial intelligence and related equipment.The method comprises the following steps: obtaining a deep learning model and test data, the deep learning model can obtain feature representation and classification results of any test data; a first data set for storing the feature representation and the classification results is created; real-time test batches are input into the deep learning model to obtain real-time feature representation and real-time classification results of the test data; the first data set is queried based on the real-time feature representation to construct a feature consistency loss; proxy feature representation of each category in the first data set is calculated to construct a feature uniformity loss; the deep learning model and the first data set are updated based on the feature consistency loss and the feature uniformity loss; and the self-adaptive testing of the deep learning model is completed until a preset condition is met. The application can improve the precision of the deep learning model applied to the field of digital medicine on medical test data.

The embodiment of the specification provides an ATE embedded wafer defect detection method and device based on PSO-SVM, wherein the method comprises the following steps: acquiring historical data, marking the historical data to determine marked historical data, and establishing a benchmark defect detection model; integrating the marked historical data to determine an original data set, and performing feature engineering and data normalization on the original data set to determine target data; performing PSO-SVM joint optimization training based on the target data and the benchmark defect detection model to determine an SVM defect detection model; acquiring real-time test data, performing defect detection based on the real-time test data and the SVM defect detection model, and determining a defect detection result. By constructing a high-dimensional feature vector based on dynamic electrical parameters generated in a CP test process, and performing efficient classification by using a PSO-SVM model, early and intelligent identification of wafer defects is realized.

The application provides a multi-machine flow connection and bidirectional real-time testing method for high-speed railway operating line large-core optical cable, and the method comprises the following steps: generating a core-level flow beat mark by obtaining a completed connection event of each optical fiber core, determining a set of optical fiber cores that have completed fusion in the current batch according to the mark, and constructing a core-level operation time window with a clear time boundary based on the core number scale; dividing a head-tail edge section and a middle stable section in the time window, judging whether the bidirectional real-time testing is allowed to be performed according to the testable margin index of the middle stable section, and adding an operating line allowed attribute to the time window; controlling the collaborative operation of multiple fusion equipment within the time window boundary, and triggering the bidirectional real-time testing at the starting position of the middle stable section when the allowed condition is met. The scheme realizes efficient, orderly and verifiable connection of the large-core optical cable within a limited time window, and improves the safety and reliability of the optical cable construction of the high-speed railway operating line.

This utility model discloses a real-time accurate preload testing device for high-strength bolts, relating to the field of engineering testing technology. The utility model includes a base plate with four sliding shafts fixedly connected to its top. Testing mechanisms are mounted on the four sliding shafts, and an error reduction mechanism is provided on the top of the base plate. By manually pulling and releasing the limiting plate, the device automatically engages with the second fixed shaft using the reaction force of a second spring, quickly locking the height of the first fixed plate. Finally, by pressing down on the housing, the device moves downwards along the positioning shaft. During this process, the built-in first spring continuously applies pressure to the first telescopic shaft and the ultrasonic probe, ensuring acoustic coupling between the probe and the lower surface of the first fixed plate. Then, rotating the lead screw drives the limiting shaft to clamp the housing, ultimately achieving rigid fixation of the entire measuring device. This ensures the stability of the ultrasonic probe during measurement and improves the accuracy of the preload test data.

The embodiment of the invention relates to the technical field of performance testing, and discloses a performance index generation method, device and equipment and a computer readable storage medium, and the method comprises the steps: determining a back-end service list under the condition of obtaining a performance index request; and determining interface information according to the back-end service list, querying a calling interface corresponding to the monitoring service and a calling interface corresponding to the log service from the interface information, and obtaining performance indexes based on the calling interface corresponding to the monitoring service and the calling interface corresponding to the log service, thereby generating a performance index table according to the obtained performance indexes. According to the technical scheme, the accuracy of the performance indexes is effectively improved, it is ensured that the performance indexes can be adjusted according to the real-time test scene, and the performance indexes of the performance test are directly determined without manual intervention.

The utility model discloses a temperature testing device which comprises a testing box, a thermal resistance testing mechanism and a thermal radiation testing mechanism. The thermal resistance testing mechanism comprises a first heating base arranged above the testing box, a first thermocouple arranged in the first heating base in a penetrating mode, a first rack arranged on the rear side of the first heating base and arranged above the testing box, a lifting adjusting lead screw arranged on the table top of the first rack in a penetrating mode, and a lifting plate arranged below the first rack and connected with the lifting adjusting lead screw. The clamping plate is arranged on the side, close to the first heating base, of the lifting plate, the heat dissipation assembly is arranged above the clamping plate, the first temperature measuring assembly is arranged in the first heating base and connected with the control assembly, and the second temperature measuring assembly is arranged in the first clamping plate and connected with the control assembly. According to the invention, thermal resistance testing and thermal radiation testing can be rapidly carried out on different electronic products, changes of real-time test data of the products can be accurately mastered, the accuracy and reliability of the test data are effectively improved, and data management and sharing are facilitated.

The invention discloses a method for testing the sensitivity of a piezoelectric acceleration sensor in real time under thermal stress and vibration stress. The method comprises the following steps: step 1, establishing a set of piezoelectric acceleration sensor sensitivity real-time testing system for providing thermal stress and vibration stress; 2, building a test system program block diagram and designing a software interface on the basis of LabVIEW; 3, setting a thermal vibration stress environment of the test system; 4, determining peak-to-peak values of output signals of the to-be-detected sensor and the standard sensor; 5, calculating the sensitivity of the sensor to be detected; by using the test system, the sensitivity of the piezoelectric acceleration sensor can be tested in real time in a thermal and vibration dual-stress test environment.

The invention discloses a high-voltage switch cabinet fault detection method and system based on dynamic resistance spectrum and transient energy field analysis. The method comprises the following steps: injecting a test signal into a main loop of a switch cabinet, synchronizing at the moment of opening / closing operation of a circuit breaker, recording instantaneous values of voltage and current at two ends of the loop at a sampling rate, and calculating and constructing a'dynamic resistance spectrum '; and transient energy field characteristics generated at the moment of operation, namely energy distribution, damping characteristics and modality of a high-frequency transient component, are extracted from the voltage and current signals. And finally, performing collaborative analysis and data fusion on the track characteristics of the dynamic resistance spectrum and the spectrum characteristics of the transient energy field, and establishing a fault fingerprint database in one-to-one correspondence with fault types such as mechanical jam, contact ablation, mechanism fatigue and insulation degradation. By matching the real-time test data with the fingerprint database, the early-stage, accurate and positioned diagnosis and early warning of the fault on the element are realized.

The utility model relates to the field of fuel cells, and provides a testing device which is used for testing the durability of a bonding interface on a piece to be tested. The testing device comprises a testing box and an inflation pipeline connecting the testing box with an external air source, the testing box comprises a first shell and a second shell, a to-be-tested piece can be clamped between the first shell and the second shell, a first cavity is defined between the first shell and the to-be-tested piece, and a second cavity is defined between the first shell and the to-be-tested piece. A second cavity is defined between the second shell and the to-be-tested piece; the first cavity is used for containing a test solution for soaking the bonding interface, the second cavity is communicated with the inflation pipeline, and an external gas source can introduce gas with preset pressure into the second cavity. The testing device disclosed by the utility model is simple in structure, easy to process and manufacture and convenient to assemble, and is favorable for carrying out durability real-time testing on the bonding interface on the to-be-tested piece in a soaking state, so that failure time can be accurately judged, and the accuracy of a testing result is improved.

The present application relates to the technical field of building thermal test, solve the technical problem of low accuracy of the test of the building envelope performance due to the lack of sky background radiation cold effect in the prior art, provide a kind of coupling sky cold and hot radiation effect's building envelope performance test method and system, the method comprises: according to weather database, establish equivalent sky effective temperature control model;According to equivalent sky effective temperature control model, test environment parameter control module is obtained by testing environment parameter;According to testing environment parameter, the real-time test data of the building envelope test piece under the control of testing environment parameter is obtained by testing data acquisition module;Real-time test data is analyzed by testing data analysis module, and test result is obtained.The present application introduces controllable equivalent sky effective temperature model, effectively solves the problem of lack of sky background radiation cold effect in the prior art, and the deviation of test result and actual building service environment is large.

The invention discloses a belt speed reduction real-time test system adopting high-speed data transmission, and relates to the technical field of speed reducer performance testing, and the system comprises a loading module which applies a loading force to a belt speed reducer and maintains the stability of a load pressure through a proportional valve; the environment simulation module is used for providing a waterproof spraying environment for the belt speed reducer; the sensing monitoring module is used for collecting bearing temperature, operation rotating speed, XYZ three-axis vibration coefficient, operation current and operation voltage data; the high-speed data transmission module is used for performing high-speed transmission on the real-time monitoring data; the central control module is used for controlling load force output, spraying flow and operation and stop of the test system; and the data processing and analyzing module is used for calculating the maximum load capacity and various performance parameters and estimating the service life. The problem that related data of the service life, the load capacity and the operation state of the speed reducer cannot be accurately obtained through physical calculation or analog calculation in the prior art is solved, the stability of equipment in practical application is improved, and the service life of the equipment in practical application is prolonged.

The application is suitable for the technical field of universal wheel life test, and particularly relates to a luggage universal wheel swing life automatic test method and device, which comprises the following steps: acquiring reference attribute information and real-time test data; determining a partial load stress, a non-partial load stress and an angle deviation area according to the reference attribute information and the real-time test data; acquiring first and second load data of the partial load stress and the non-partial load stress area and angle deviation data of the angle deviation area, and generating first and second load test instructions and deviation test instructions; comparing the angle deviation data with a preset angle deviation level threshold to generate a deviation level; and comparing the first and second load data with first and second preset load level thresholds respectively to generate first and second load levels. The application can solve the problem that the existing test method cannot accurately simulate the combined working condition of partial load and rough road conditions, resulting in a large deviation between the luggage universal wheel swing life test result and the actual service life.

This invention provides a method and apparatus for dynamically quantifying hybrid heterogeneous computing power loss in intelligent computing cloud platforms, relating to the fields of intelligent computing centers, smart computing centers, computing infrastructure, and smart computing cloud technologies. The method includes: Step S1, running standard test tasks on each homogeneous computing power cluster to obtain load parameters and the standard computing power of each chip type; Step S2, determining the chip adaptation loss coefficient for each chip type in the hybrid heterogeneous computing power cluster of the intelligent computing cloud platform; Step S3, obtaining the load parameters and real-time total computing power of the hybrid heterogeneous computing power cluster running real-time test tasks; Step S4, determining the load fluctuation coefficient based on the load parameters of the standard test tasks and real-time test tasks; Step S5, determining the dynamic computing power loss ratio of the hybrid heterogeneous computing power cluster based on the load fluctuation coefficient, the real-time total computing power, and the standard computing power and chip adaptation loss coefficient for each chip type. This invention can significantly improve the accuracy of quantifying hybrid heterogeneous computing power loss in intelligent computing center cloud platforms.

The invention belongs to the technical field of terminal testing, and particularly relates to a mobile intelligent terminal compatibility testing method which comprises the following steps: S1, aggregating terminal hardware configuration, software environment and network state data through federal learning, and constructing a real-time testing matrix; s2, synthesizing an edge scene test case based on the generative adversarial network; s3, synchronously collecting a touch track, a display frame rate and an audio synchronization deviation, and quantifying user interaction experience in combination with eye tracker data; s4, deploying a lightweight virtualization intermediate layer between the gap / Android / iOS, automatically converting an equipment interconnection instruction, and verifying cross-chain compatibility; and S5, tracking the privacy data flow by adopting dynamic taint analysis, and detecting illegal behaviors in real time. According to the method, through dynamic environment modeling, real-time test matrix construction and hierarchical aggregation architecture, terminal nodes encrypt and upload local data by using differential privacy and homomorphic encryption technologies, so that the security of the data is ensured.

The application provides a new energy automobile electric core heat insulation buffering performance test method, and belongs to the heat insulation buffering performance test technical field. The method comprises the following steps: collecting electric core structure, test environment and dynamic response data, identifying failure risk sequence through thermal-mechanical coupling characteristic decoding, extracting characteristic identification to generate electric core test data set; extracting risk characteristics by using historical data, combining risk intensity distribution and anti-failure response curve to calculate heat insulation buffering safety benchmark value; generating initial failure judgment atlas, combining related parameters to construct dynamic compensation matrix to obtain dynamic failure judgment atlas; comparing the feature similarity of real-time test data and dynamic atlas, analyzing actual risk average, and completing performance diagnosis. The application improves test accuracy through dynamic compensation, realizes accurate identification and tracing of failure risk, solves the problems of fixed threshold and weak anti-interference of traditional methods, and guarantees the test precision of electric core heat buffering performance.

A quantum-key distributed (QKD)-enabled communication architecture it devises for networked microgrids (NMGs). A real-time QKD-enabled NMGs testbed built in an RTDS environment, and a novel two-level key pool sharing (TLKPS) strategy it designs to improve the system resilience against cyberattacks. In the QKD-based microgrid testbed design there is used a real-time power system simulator, i.e., RTDS, including the QKD modeling, hardware connection, communication network design, and QKD integration. By integrating QKD features into a real-time microgrid simulator, this testbed offers a flexible and programmable testing environment for evaluating the performance of QKD-enabled microgrids under a variety of scenarios.

The invention relates to the technical field of underwater acoustic transducer testing, in particular to a low-frequency bending disc transducer sound source level testing method which measures the vibration displacement amplitude of a transducer through a vibration displacement real-time testing system and calculates the sound source level based on a uniform pulsation spherical surface sound radiation model. According to the invention, a standard hydrophone and a large-scale testing platform are not needed, the testing process is simplified, the efficiency is improved, and the method is suitable for batch testing of low-frequency and multi-depth bending disc transducers.

The invention relates to a high-precision semiconductor test method and system for multi-channel parallel test. The method comprises the steps of generating a multi-dimensional orthogonal coding calibration signal containing multi-domain information based on a multi-site test requirement of a to-be-tested chip; generating a corrected multi-domain parameter through inherent deviation elimination processing and multi-domain parameter error correction based on Fourier transform relevance; and combining all the corrected multi-domain parameters into a multi-domain correction parameter set, and correcting the real-time test data based on the parameter set to obtain a high-precision test result. By adopting the method, the problems of positioning error and parameter inconsistency caused by multiple physical contacts in the traditional step-by-step calibration can be effectively avoided, the calibration efficiency and parameter self-consistency are greatly improved, the wafer scratch risk is reduced, and a high-precision and high-consistency calibration basis is provided for large-scale parallel test of high-performance semiconductors.

The invention relates to the field of charging piles, in particular to a real-time testing system and method for a super charging pile and a medium. The system comprises a composite current sensing module, a signal conditioning and acquisition module and a central processing unit. The composite current sensing module is connected in parallel with the shunt and the magnetic sensor and is respectively matched with the first and second current ranges, and the upper limit of the first range is lower than the lower limit of the second range. The signal conditioning and acquisition module carries out conditioning and analog-to-digital conversion on current analog signals of the selected sensors, and the central processing unit judges the measuring range according to the current digital signals, generates switching control signals, switches the corresponding sensors, carries out data fusion on different path signals and outputs continuous current measurement values. Through the combined type current sensing design and the intelligent measuring range judgment and data fusion functions, the core problem that an existing single sensor is difficult to consider high precision, low power consumption and safe isolation within the wide measuring range of 1A-1000A is effectively solved, and full-measuring-range stable measurement is achieved.

The embodiment of the present application relates to the technical field of PCB manufacturing, and particularly relates to a printed circuit board testing method and device, the present application obtains a workpiece to be tested, and performs pre-baking treatment on the workpiece to be tested; places the workpiece to be tested in a reflow soldering device; performs real-time RST testing on the workpiece to be tested in a preset first reflow environment, and then performs real-time RST testing on the workpiece to be tested in a preset second reflow environment; repeatedly performs step S3 to perform RST testing according to a preset number of tests, and obtains a test result. The present application can dynamically monitor the performance change of the printed circuit board online, discover potential defects in time, realize real-time reliability monitoring of the printed circuit board, greatly improve the testing efficiency, and reduce the production delay by including pre-baking treatment, placing in a reflow soldering device, and performing real-time RST testing in a preset reflow environment and repeatedly performing.

The application provides a motor drive production test tool system, belonging to the technical field of industrial automation, comprising: an automatic test module for task testing of production equipment according to a test flow formed by a plurality of test instances, and dynamic adjustment of the test instances based on real-time test data; a data analysis module for local correlation analysis and global analysis of task test results according to test indexes of corresponding test instances, and causal relationship analysis across test instances through a Bayesian network to generate an initial report containing a fault root cause tracing conclusion; and an interface interaction module for receiving each test instruction input by a user to perform specified testing on the production equipment, and generating a test report according to matching content of each specified test result and the initial report, in combination with test permissions of each test instruction input by the user. The problems of low efficiency and insufficient accuracy of traditional testing are solved.

The present disclosure provides a system (102) and a method (200) for predicting noise, vibration, and harshness (NVH) characteristics of vehicle components in a vehicle. The method (200) includes receiving data relating to the NVH performance of vehicle components, followed by performing finite element (FE) modeling to identify parameters based on the data. Furthermore, a simulation environment is set up that replicates vehicle-level conditions and evaluates the dynamic behavior of the vehicle components, including vibration modes and interactions with adjacent vehicle structures. The simulation parameters are iteratively adjusted to align the frequencies predicted by the simulation with the physical test data.Based on the simulation results, the process adjusts the parameters to modify the design of the vehicle components and mitigate the NVH problems identified during the simulation or tuning. Furthermore, the modified design is validated by comparing the simulation results with real-time test results to ensure compliance with NVH performance during operation.

The embodiment of the invention discloses a dynamic test quality evaluation method for a power distribution Internet of Things terminal, and relates to the technical field of smart power grids, and the method comprises the steps: constructing a multi-dimensional index system, and generating the initial weight of each index; in a preset test scene, dynamically testing the power distribution Internet of Things terminal to obtain real-time test data, and dynamically adjusting the initial weight according to the real-time test data and the characteristics of the test scene to obtain a dynamic weight; calculating based on the dynamic weight and the real-time test data to obtain a comprehensive evaluation result, and obtaining a defect diagnosis result; updating the diagnosis results to a knowledge base, and performing feedback optimization on the dynamic weight adjustment process or the defect diagnosis process by using the knowledge base; according to the method, the accuracy and pertinence of evaluation can be improved, intelligent evaluation and self-optimization are realized, and the defect diagnosis capability is enhanced, so that the operation reliability of the intelligent power grid is improved.

The application relates to a light module performance degradation test system and method, which comprises an environmental test chamber, a light module connector board, a light wavelength meter and a computer device; the light module connector board is arranged in the environmental test chamber, the light module connector board carries a light module to be tested, provides working power for the light module to be tested, and acquires real-time bit error rate and real-time digital diagnosis monitoring information in a test process of the light module to be tested; a splitter is connected to a tail fiber of a transmitting end of the light module to be tested; the light wavelength meter is used for measuring real-time wavelength drift of an output light signal in the test process of the light module to be tested; and the computer device is used for performing real-time test on a whole performance degradation process of the light module to be tested according to the real-time bit error rate, the real-time digital diagnosis monitoring information and the real-time wavelength drift. The light module performance degradation test system can perform real-time test on the whole performance degradation process of the light module.

This invention belongs to the field of circuit board testing technology, specifically a test apparatus for integrated testing of an aircraft communication and navigation system. It includes a distributed hardware layer, a real-time test software layer, and a data interaction and control layer. The distributed hardware layer includes a test bench, test components integrated on the test bench, a marking component, a circuit board centering and positioning component, a marking isolation component, and a corner-mounted reinforcement component. This invention utilizes the marking component to automatically mark each detected fault point with a marker. When repairing the circuit board, operators only need to observe the marked positions to accurately locate the fault point, thereby improving repair efficiency.