150 results about "Online test" patented technology

The invention relates to the technical field of electronic component testing for investigating or analyzing internal microstructures and physical properties of materials by utilizing an electrical means, and discloses an online testing and analyzing method for physical properties of electronic component materials, which comprises the following steps of: constructing a composite excitation signal formed by linearly superposing a main carrier voltage and a perturbation wave voltage; applying the signal to a to-be-tested electronic component and acquiring response current; and extracting an intermodulation current amplitude at an intermodulation frequency point in the frequency spectrum of which the linear response interval is excluded, calculating a nonlinear response coefficient of the material in combination with the excitation amplitude, and comparing the nonlinear response coefficient with a preset degradation threshold so as to judge whether the nonlinear response coefficient is qualified or not. By extracting intermodulation components which cannot be generated by linear contact resistance, physical isolation of external contact noise in a frequency domain is realized, and the problem that contact resistance fluctuation and material intrinsic aging cannot be distinguished in a traditional linear impedance test is solved.

The invention relates to the technical field of charge and discharge detection, and discloses a multichannel EIS charge and discharge in-situ test system and method, and the system comprises a DC charge and discharge module which is used for carrying out the constant-current, constant-voltage or cyclic charge and discharge test of a battery; the alternating current impedance test module is connected in parallel with the direct current charging and discharging module and is used for applying an alternating current disturbance signal to the battery and collecting impedance response in the charging and discharging process; and the unified clock module is used for providing a synchronous triggering reference signal for the direct current charging and discharging module and the alternating current impedance test module. The direct current charging and discharging module and the alternating current impedance test module are designed to be of a parallel connection normally-connected structure, no relay switching is needed, continuous and uninterrupted online EIS test in the charging and discharging process is achieved, contact resistance drift and transient errors caused by physical circuit switching in a traditional scheme are effectively avoided, and the reliability of the EIS test is improved. And the stability and repeatability of the test are obviously improved.

The invention discloses a group relative strategy optimization-based dynamic optimization scheduling method, system and equipment for a park power distribution network, and a medium. The method comprises the following steps of: acquiring basic data of a park power distribution network system; constructing an optimization scheduling model based on the basic data, converting a multi-objective optimization model into a Markov decision process, and defining a state space, an action space and a reward function; and solving the Markov decision process by using a group relative strategy optimization algorithm, optimizing and verifying the optimization scheduling model by using the group relative strategy optimization algorithm through offline training and online testing, and generating a dynamic optimization scheduling scheme of the power distribution network of the park. According to the method, the stability and convergence speed of reinforcement learning training are improved through a group relative strategy optimization algorithm, the photovoltaic and load uncertainty is adapted in combination with off-line training and on-line testing, the operation cost of the power distribution network in the park is reduced, the income is improved, the energy storage life is prolonged through energy storage health state management and control, and the dynamic scheduling effect is optimized.

The invention relates to the technical field of motor testing, and discloses a motor dynamic characteristic compensation test method and platform based on multi-modal data, the method collects motor data through a multi-modal synchronous test system, and a processing module executes the following steps: constructing a state observer model to estimate winding temperature and loss torque; in the online test, the accuracy of the model is monitored by calculating the residual error between the model prediction and the measured value; and when the residual dynamic characteristic exceeds a threshold value, generating and applying an adaptive excitation sequence according to the residual characteristic, collecting high-resolution data to update model parameters on line, forming a self-optimization closed loop, after the test is finished, adopting a fixed interval smoothing algorithm to be combined with a final model to obtain a global optimal state track, and calculating a dynamic characteristic compensation result according to the global optimal state track. According to the invention, through adaptive excitation of residual error driving and online model updating, accurate identification and compensation of dynamic characteristics of the motor are realized, and the test automation level and accuracy are improved.

The invention relates to the technical field of dynamic balance testing of rotating machinery, and discloses a dynamic balance state testing system based on equipment operation data, which comprises a synchronous sampling module, a fundamental frequency vector analysis module and an influence coefficient self-adaptive calibration module, the synchronous sampling module collects key phase pulses and original vibration signals of the rotating equipment; a fundamental frequency vector analysis module extracts an instantaneous rotating speed and a real-time fundamental frequency vibration vector; the influence coefficient self-adaptive calibration module stores a weight matrix representing rotor supporting characteristics, monitors a rotating speed fluctuation variance, corrects the weight matrix according to complex deviation of a vibration vector when the variance exceeds a preset threshold value, solves a net unbalance vector of the controlled rotating equipment, and outputs the net unbalance vector. According to the method, the rotating speed micro fluctuation in the operation process is used as an excitation increment source, and the sensitivity model reflecting the rotor bearing characteristics is constructed, so that the dynamic balance test gets rid of the limitation of adding a physical test weight, and the online test requirement under the continuous working condition is met.

This invention relates to an online testing method for engine assembly status, belonging to the field of engine testing technology. Addressing the problems of low efficiency and poor consistency in existing technologies, such as the difficulty in simultaneously assessing spatial installation and appearance using single-image testing methods, and the tendency to miss measurements in complex structural areas, this invention proposes acquiring color and depth images of the engine under test. Based on the component characteristics, it selects a camera mode from color-only testing, depth-only testing, and collaborative testing. Multi-view image acquisition is performed according to a preset testing scheme, and the results of each test item are obtained through a preset testing algorithm. Finally, the results are fused and judged to generate an overall result. This invention improves the targeting, accuracy, and coverage of the inspection, and is applicable to the field of online testing of engine assembly quality.

To provide a test management device, a test management system, a test management program, and a test management method that ensure the fairness of online tests and increase their reliability. [Solution] An exam management device has a control unit that acquires a photographed image of an answered sheet, which is an answer sheet after answering written questions, and registers it in a memory unit as a first image. The control unit acquires a photographed image of a masked sheet, which is an answer sheet after masking processing that masks at least the answer portion, and registers it in the memory unit as a second image. The exam management system has an exam terminal, a portable device, and an exam management device. The exam terminal has a display unit that displays a written screen including the question text of the written questions. The portable device has a camera that photographs the answered sheet.

The application discloses an online data testing method for a mutual inductor based on artificial intelligence and particularly relates to the technical field of mutual inductor data testing, which comprises the following steps: synchronously collecting primary side data, secondary side data, standard device reference signals and working condition environment data in an operating field and encapsulating the data into a structured data package with a unified time scale; deploying digital twin agents on a data sending end and a data receiving end respectively, transmitting monitoring signaling through an independent safety channel, and realizing virtual and real synchronous verification of data integrity and service rationality; forming a structured abstract from verification results and key features, storing the abstract in a block chain network, and constructing an unalterable testing process log to realize accurate tracing. The application realizes real-time and highly credible online testing of a mutual inductor under non-power-off conditions, has full-link traceability and intelligent early warning capability, and significantly improves testing efficiency and intelligent operation and maintenance level.

This invention provides a method and system for predicting the state of power equipment based on online testing adaptation, comprising: collecting power equipment state data in real time through sensors and forming test samples; filtering a set of adapted historical samples from a historical sample memory bank that meet preset conditions in terms of similarity to the test samples in the latent space through a transferable historical sample selection module, wherein the historical sample memory bank stores historical power equipment state data; performing time-frequency domain hybrid data augmentation on the test samples and the adapted historical sample set through a transferable online augmentation module to generate an augmented sample set; inputting the augmented sample set into a pre-trained power equipment state prediction model for batch training, dynamically adjusting the model parameters to adapt to the distribution shift; and fusing the output of the dual-stream predictor of the power equipment state prediction model to generate the power equipment state prediction result for the next time period. This invention can perform power equipment state prediction.

The invention provides a self-adaptive target detection method, system and device in online testing, and relates to the technical field of computer vision and machine learning, and the method comprises the steps: obtaining an input image, and respectively inputting the input image to a fixed teacher model and a to-be-optimized student model to obtain a prediction result; calculating consistency distillation loss based on prediction results of the two parties to maintain the stability of the model, generating high-quality pseudo labels through a dynamic pseudo label generation process based on a teacher prediction result, and calculating supervision loss to drive the model to adapt to a target domain; and finally, combining the two losses to optimize the student model and outputting a detection result. According to the method, the technical problems of unstable pseudo tag quality and high model updating overhead in self-adaption during testing are effectively solved, and the precision, robustness and deployment efficiency of the target detection model in an unknown domain environment are remarkably improved.

The invention discloses an underground supercritical carbon dioxide mass flow testing device and a testing method. The device comprises a measuring short section and a flow collecting short section, the measuring short section comprises a volume flow meter, a temperature sensor, a pressure sensor, a flow plate and a magnetic positioning module, and a density prediction model is preset on the flow plate; and the flow plate is used for predicting a density value by using a density prediction model based on the obtained temperature value and pressure value, and converting the mass flow rate of the overflowing carbon dioxide according to the density value and the obtained volume flow rate. The device can monitor a plurality of injection parameters such as mass and flow of carbon dioxide injection in different underground intervals in real time, and provides an on-line testing means for the mass and flow regulation and control of the carbon dioxide flooding injection well intervals in an oil field.

1. The name of the design product: graphical user interface for online test and score management of basic math course for mobile phone. 2. The use of the design product: display the graphical user interface for online test and score management of basic math course on mobile phone. 3. The design points of the design product: the combination of shape, pattern and color. 4. The picture or photo that best indicates the design points: interface change state diagram. 5. The design claimed contains color. 6. The carrier is a mobile phone, and the left view, right view, top view, bottom view and rear view are omitted. 7. The change state description of the graphical user interface: click login in the front view, jump to the interface change state diagram.

The invention discloses an online analysis experiment system for simulating fluid migration and component change under multi-scene multi-medium multi-field coupling, which comprises a model unit and a fluid conveying unit, and the fluid conveying unit injects experiment fluid into the model unit. Each model unit structurally comprises a cylindrical shell with two open ends, a rubber cylinder is arranged in the shell, an annular space between the rubber cylinder and the shell is sealed, experimental fluid can be directly injected into the rubber cylinder, or experimental fluid can be injected into the rubber cylinder after a rock core or a sand filling model is placed, and a plurality of monitoring holes are formed in the side wall of the rubber cylinder at equal intervals. The sampling holes are communicated with the corresponding round pipes on the shell to serve as monitoring channels or sampling holes, and sealing covers or monitoring sensors are selectively installed on the monitoring channels. The experiment system can test and analyze fluid mixing and mixing zone change, displacement migration, component change and other conditions under multi-scene multi-medium multi-field coupling on line, for example, the experiment system is used for oil and gas displacement, gas storage injection and production simulation, underground energy storage and other experiment researches.

1. The name of the design product: optical fiber attenuation performance index online testing device. 2. The use of the design product: for optical fiber attenuation performance index online testing. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This application provides a method, electronic device, and storage medium for online power monitoring of photovoltaic modules. The method includes: constructing verification conditions; determining a valid test time based on pre-established verification conditions (string operating status verification, irradiance integer value verification, and irradiance stability verification); real-time power correction of the module based on the measured irradiance and cell temperature at the valid test time; determining the online power test value based on the corrected power value under the same integer irradiance reference value; when the integer irradiance reference value reaches a preset high irradiance threshold, correcting the online power test value to standard test conditions to obtain a comparable online power test value; determining the current control reference for the current test cycle based on its corresponding factory power correction value; and updating the dynamic iterative control reference based on the current control reference and historical control references to perform power anomaly monitoring. This application achieves accurate online testing and anomaly identification of photovoltaic module power.

The application relates to an online measurement method for motor bearing oil film impedance. The method introduces an excitation voltage into a rotating shaft of a motor, and obtains the voltage U m between the rotating shaft and the ground and the current I m in a test loop through online measurement, calculates the bearing impedance Zb, and further determines the bearing oil film capacitance C b and the resistance R b . The method can realize online testing of the motor bearing oil film impedance for a single bearing structure without special tooling modification of the motor and construction of a special bearing test bed, better monitors the performance state of the bearing during motor operation, judges the health condition of the bearing, and can be applied to online oil film impedance testing of a high-power motor during operation.

The invention relates to the technical field of on-line testing of light emitting diode production and manufacturing, and provides an LED testing circuit and a testing method thereof. The method comprises the following steps: providing a test power supply for a to-be-tested plate provided with a to-be-tested multicolor light emitting diode, and lightening light emitting diode lamps with different colors on the to-be-tested plate one by one according to a preset color; after a light emitting diode with a color to be detected is turned on every time, three paths of light sensing parameters of current light emitting are collected through a light sensing sensor, the three paths of light sensing parameters are compared, and the color actually emitted by the current light emitting diode is determined according to a preset color judgment logic and the size relation of the three paths of light sensing parameters; comparing the actually judged color with the currently-lightened preset color, if the color is consistent with the currently-lightened preset color, judging that the light-emitting diode works normally, and if the color is not consistent with the currently-lightened preset color, judging that the light-emitting diode works abnormally; and testing of all the to-be-detected color light emitting diodes is completed successively, and a final LED testing result is obtained.

The application belongs to the technical field of integrated circuit testing, and discloses a kind of online test method for many-core network on chip based on software self-test, comprising the following steps: step 1: using bounded model checking to automatically generate test vector for software self-test method;Step 2: using Monte Carlo simulation method to solve the selection problem of test data packet configuration;Step 3: increase multi-thread mechanism in Monte Carlo simulation process.The application can not only realize high test quality, but also reduce test overhead.In addition, the application carries out online test in the functional mode of many-core network on chip, which can effectively avoid the untestable turn of data packet in the functional mode, thereby avoiding the problem of excessive test.

This invention relates to a welding temperature gradient control method and apparatus based on neutron source residual stress detection, belonging to the field of welding control technology. This technology establishes a correlation between laser power, beam size, scanning rate, metal type, and temperature by constructing a temperature field data acquisition module and a heating and cooling module for the welding process, and by using laser-assisted local heating and forced substrate cooling devices. It develops a temperature gradient control method to achieve online physical simulation of the temperature gradient between the welding zone and the substrate, solving the problem of mismatch between the welding cooling rate and the neutron data acquisition rate, and realizing in-situ online testing of the stress field near welding conditions.

The application discloses a kind of material aerodynamic acoustic performance online testing method and system, it is related to wind tunnel aerodynamic acoustic performance test field, the application is set in wind tunnel sound-transparent solid wall test section, to be measured acoustic material is installed in its middle part;First, second acoustic sensor is sequentially arranged on the wall surface upstream of material, third, fourth acoustic sensor is sequentially arranged on the wall surface downstream;Respectively collect the sound pressure data of four acoustic sensors under the running state and static state of wind tunnel;Transfer matrix equation set is constructed, and the sound pressure data of running state and static state are substituted into equation set and simultaneously solved, to obtain sound pressure transfer function;According to sound pressure transfer function, the noise reduction of material under current airflow environment is calculated.The application realizes online testing by the synergistic effect of sound-transparent solid wall, four sensor arrangement, double-state acquisition and simultaneous solution of transfer matrix, effectively eliminates wall reflection and wind tunnel background noise interference while testing, and the test result is accurate and reliable.

The present application provides a professional ability evaluation system based on a skill map, relates to the technical field of human resources and the application field of knowledge maps, and comprises an evaluation main system, which comprises a skill star map generation module, a professional track simulation module, a skill challenge module, a skill certification chain module, a future skill navigation module, a skill coordination ecological module, a skill evolution tree module, a professional story generation module, a skill energy pool module, a professional time capsule module and a control flow management module. The present application can collect user professional experience, learning records and test data in time by constructing a dynamic skill star map and combining 5G network real-time data transmission, and can effectively overcome the problems of strong subjectivity, low efficiency and inability to accurately quantify ability of traditional manual evaluation and online testing by dynamically adjusting node weights through a semantic analysis algorithm and a weighted scoring algorithm.

This application relates to the field of carbon fiber performance testing technology, and in particular to a quantitative testing system and method for carbon fiber tow spreading performance. To overcome the problems of long cycles, low efficiency, inconsistencies with actual prepreg production processes, and potential damage to carbon fibers in existing online and offline testing, qualitative and quantitative testing, this system is based on the mechanical vibration spreading principle for carbon fiber spreading. It uses a laser sensor as the width measuring device to test the carbon fiber tow width, and is equipped with an image analyzer for real-time image capture. This testing system can comprehensively test and characterize the influence of multiple parameters on carbon fiber tow spreading performance, objectively and accurately evaluate carbon fiber tow spreading performance, is applicable to different types of carbon fibers, causes minimal damage to carbon fibers, and has high testing efficiency.

The application discloses a kind of test method and test system for large-size wafer.Method comprising: the test area of the large-size wafer is divided into multiple test sub-regions;According to progressive sampling strategy, test is executed in the test sub-region, based on the coverage state of the test sub-region and the test sample size that has been obtained, the switching of the sampling stage is executed, based on the information value index of spatial probability prediction model and the execution cost index of test execution equipment, from the remaining candidate test position Determining the target of supplementary test executes test;Based on the execution quality threshold of test execution equipment, the test data obtained is carried out abnormal identification and remeasurement data fusion.The present application is around large-size wafer online test scene, and test space organization, sampling promotion, supplementary test decision, abnormal correction and execution control are collaboratively designed, so as to form a complete technical scheme which can give consideration to test efficiency, space representation ability, result reliability and engineering implementability.

The utility model provides an on-line strength detection device for a bottle cap connecting bridge. The on-line strength detection device comprises a bracket; the limiting jig is arranged on the support, and the limiting jig is provided with a limiting part; the testing mechanism comprises a testing driving assembly and a movable part, and the movable part is configured to drive the cap body of the bottle cap to be away from the limiting part under the driving of the testing driving assembly; and the material returning mechanism comprises a cutting driving assembly and a cutting tool, and the cutting tool is configured to be close to or away from the limiting part under driving of the cutting driving assembly. Compared with the prior art, the online strength detection device for the bottle cap connecting bridge has the advantages that after the strength test of the bottle cap connecting bridge is completed, the anti-theft ring is cut off through the cutting tool, so that the anti-theft ring can be loosened from the limiting part, and the anti-theft ring can be conveniently and quickly returned for the next test; and in cooperation with the feeding mechanism and the discharging cover, the anti-theft rings can be rapidly, automatically and stably discharged, and automatic online testing is facilitated.

The invention discloses a surge protection device board-level function on-line test method, particularly relates to the technical field of electric measurement and power electronic protection, and is used for solving the problem that fine on-line evaluation on the real protection capability and the degradation state of a plurality of surge protection devices on a circuit board is difficult under the condition that equipment is not stopped and the board is not disassembled. A node topology model and baseline equivalent parameters of a circuit board bus, a load and each surge protection device are established, a fluctuation-controlled online test window is selected during operation, controlled micro-surge excitation is applied to a target node, and a state index of each surge protection device is solved by combining multiple rounds of combined tests on the basis of multi-node synchronous acquisition; therefore, the real protection capability of a plurality of surge protectors on the board is subjected to refined online evaluation under the conditions of no shutdown and no board disassembly, degenerated but incompletely invalid devices are identified in time, and the surge protection margin of the credible circuit board is given.

The invention discloses a programmable online kernel self-diagnosis implementation method and a storage medium. The method comprises the following steps: S1, constructing a hardware architecture; s2, test excitation and signature pre-generation; s3, software programmable configuration is carried out; the CPU sets a test mode, the number of execution SEEDs, test granularity, clock distribution and start / stop through the configuration register; s4, preparing before testing; s5, executing an online test; reading SEED from the ROM, generating excitation by a Pattern generator, loading the excitation to a kernel scan chain, capturing output, generating an MISR, and comparing the MISR with a GOLDEN MISR; s6, fault processing and a safety mechanism; and S7, recovering after testing. The storage medium is realized based on the method. The method has the advantages of simple principle, wide application range, good flexibility, high coverage rate and the like.

The invention discloses an atmospheric tower top operation health state online evaluation method based on data driving. According to the method, historical data of atmospheric tower operation sensitive parameters are obtained, after a discrete time sequence of the atmospheric tower operation sensitive parameters is obtained through abnormal value elimination, missing value filling and data alignment processing, sensitive parameter relative factors are calculated, and the weight of each atmospheric tower operation sensitive parameter is set; an atmospheric tower top operation health state evaluation model is constructed based on a weighted Euclidean distance, and after training is carried out by using historical data, online test data of atmospheric tower operation sensitive parameters are aligned and then input to the trained atmospheric tower top operation health state evaluation model. And calculating an operation health state value of the normal-pressure tower top in real time by using the normal-pressure tower top operation health state evaluation model, and determining the operation health state of the normal-pressure tower top. Accurate online evaluation of the normal pressure tower top operation health state is achieved, and long-period safe and stable operation of an atmospheric and vacuum distillation unit is guaranteed.

The invention discloses an on-line testing method for simultaneously measuring characteristic parameters of multiple MEMS materials. The on-line testing method comprises a design and use process of an MEMS on-line testing structure. A required testing structure consists of a V-shaped thermal actuator and two comb-tooth-shaped electrostatic actuators at the front end and the rear end of the V-shaped thermal actuator, and Young modulus, residual stress and thermal expansion coefficient of the silicon material layer can be calculated by analyzing behaviors of the actuators. Therefore, firstly, geometric parameters of two comb-shaped electrostatic actuators with different geometric parameters and a V-shaped thermal actuator are designed by establishing a physical model so as to ensure that the actuators are sufficiently sensitive to the properties of a material layer and are relatively easy to drive; the measurement process is completed by applying electric excitation, analyzing electric signal feedback and performing subsequent data processing, the method does not depend on other complex test equipment or harsh test environment, and the method can be suitable for different MEMS processes without adding extra process steps. The method has practical significance for improving the MEMS test efficiency and the automation degree of the test process.

The application discloses a cross-subject electroencephalogram signal classification method based on online test time domain adaptation, and steps of the method comprise the following steps: 1, pre-processing original EEG data, including removing noise, segmenting, extracting time-frequency features by using short-time Fourier transform, and obtaining source domain data and target domain data; 2, constructing a source model, a student model and a teacher model based on a CNN network, and training the source model by input data to obtain a pre-training source model; 3, initializing the student model and the teacher model by using the pre-training source model; 4, online optimizing the student model and the teacher model based on a mutual learning strategy on target data flow and realizing classification of electroencephalogram signals. The application can realize rapid classification of electroencephalogram signals under the condition of protecting the privacy of patients, so that the real-time demand of the classification system of electroencephalogram signals in an actual scene can be met.

The present application belongs to the technical field of separating machine, and particularly relates to a water phase feeding and discharging mechanism performance testing system. The present application comprises a comprehensive separating device and a testing pipeline. The discharging liquid enters through a discharging liquid inlet, and flows down along a first discharging liquid channel to the bottom end of an outer cylinder body, until it is sprayed through a through hole into a discharging liquid collecting cavity, and enters a discharging liquid collecting ring through a vortex flow channel, and then flows up along a second discharging liquid channel to the discharging liquid outlet above the outer cylinder body. The feeding liquid enters into the outer shell through a feeding liquid inlet, and then is pumped into the lower cavity through a liquid suction channel formed by the impeller and the flow guide cylinder. Then the feeding liquid enters the upper cavity through the first liquid discharge hole, and then enters the preset annular cavity in the outer shell through the second liquid discharge hole, and finally is discharged through the feeding liquid outlet penetrating the outer shell. The present application can realize the online testing of the water phase feeding mechanism performance and the water phase discharging mechanism performance with one machine for multiple purposes, and finally has the advantages of compact and reasonable structure, large operation flexibility and wide application range.