237 results about "Online test" patented technology

An online testing and diagnosis method for vibration characteristics of blades of wind turbine is disclosed. Steps of testing and diagnosing blade vibration comprises: S1: installing vibration sensors at key positions of a blade, designing an adaptive data acquisition strategy, and automatically adjusting a sampling rate according to a vibration amplitude and environmental changes monitored in a real time; S2: extracting key features reflecting health status of the blade from massive data, and evaluating an impact of wind speed, temperature, and environmental factors on vibration characteristics; S3: designing a customized deep learning model for damages of the blade of a wind turbine, extracting a time sequence data and a vibration signal, identifying a damage among different types of damages and evaluating a damage degree; and S4: automatically adjusting a warning threshold based on a real-time data stream and a historical trend, and drafting a preventive maintenance plan.

The invention provides a vocational ability assessment system based on a skill map, and relates to the field of human resource technology and knowledge map application. The evaluation main system comprises a skill star map generation module, an occupational trajectory simulation module, a skill challenge module, a skill authentication chain module, a future skill navigation module, a skill collaborative ecological module, a skill evolutionary tree module, an occupational story generation module, a skill energy pool module, an occupational time capsule module and a control flow management module; according to the invention, the dynamic skill star map is constructed and the 5G network is combined to transmit data in real time, so that the occupational experience, learning records and test data of the user can be collected in time, and the node weight is dynamically adjusted through the semantic analysis algorithm and the weighted scoring algorithm; the problems that traditional manual evaluation and online testing are high in subjectivity and low in efficiency, and the capability cannot be accurately quantified are effectively solved.

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 provides a semiconductor chip on-line test device, and particularly relates to the technical field of chip performance test.The semiconductor chip on-line test device comprises a test box, a main controller is installed at the top of one side of the test box, and a vertical heat insulation plate is fixedly arranged in the middle of an inner cavity of the test box; a test space is divided into a low-temperature test area and a high-temperature test area which are independent through a vertical heat insulation plate and a horizontal heat insulation plate, an annular groove is formed in the position, corresponding to the permanent magnet ring, of the top face of the horizontal heat insulation plate, two symmetrically-arranged permanent magnet blocks are arranged in the annular groove in a sliding mode, and the positions of the two permanent magnet blocks correspond to the position of the permanent magnet ring in an up-and-down mode. The test board can enter different temperature zones at the same time for synchronous test under the driving of the circular ring plate, the problem of temperature fluctuation caused by environment exposure during environment switching in the prior art is avoided, the temperature of the temperature zones does not need to be frequently adjusted, the stability of the test environment is ensured, and the test efficiency of the semiconductor chip is improved.

The invention relates to the technical field of power system protection equipment testing, in particular to an online testing method for a backup protector special for a surge protector, and aims to solve the problem that in the prior art, spectral characteristics under actual fault conditions such as lightning stroke or short circuit cannot be comprehensively reflected only by depending on power frequency testing. A high-frequency dynamic frequency sweeping signal is injected through the non-contact coupling unit, a multi-source signal fusion judgment mechanism is combined, the physical contact risk is avoided, meanwhile, real working condition simulation is achieved, the problems of test distortion, weak anti-interference capacity and aging monitoring deficiency in a traditional method are effectively solved, and the test accuracy is improved. The method has the technical effect of remarkably improving the test safety and accuracy.

A pressurized water reactor core oxidation corrosion product deposition multi-physical coupling hardware-in-loop device comprises a corrosion product accelerated deposition system, an element online testing system and an axial power offset digital mirror image system. According to the method, the complex multi-physics field coupling process of hydrochemistry, material corrosion, flow heat transfer, neutron physics and the like involved in oxidation corrosion product deposition can be achieved, off-line data transmission between single physics fields is avoided, the growth rule of a deposition layer is directly obtained, the deposition mechanism of oxidation corrosion products is analyzed, and the deposition efficiency is improved. The defects that an existing device cannot perform entity verification and cannot obtain element concentration and distribution in a corrosion product deposition layer are overcome.

The invention discloses an on-line monitoring and early warning method for a bus capacitor of an electric driving system, and belongs to the field of electric driving systems. The electric driving system sequentially comprises an isolating circuit, a full-wave bridge rectifier, a bus capacitor bank, an inverter, an actuator and a capacitance online testing device; the capacitor online testing device comprises a relay, a load resistor, a voltage acquisition module, a current acquisition module and a master control calculation unit. When the electric drive system is idle, a load resistor is connected to construct a test path, and current and voltage signals are collected; disconnecting a test path, constructing a degradation characterization quantity of multi-index information fusion through time-frequency domain feature extraction, and constructing an equal-length time interval sequence degradation curve; and the TCN-BRU-GRU combined prediction model carries out trend feature learning and training on the degradation curve. According to the method, waveform fitting and local and global data feature capturing of non-equal-interval time sampling are achieved, trend prediction of bus capacitor performance degradation is achieved, early warning is conducted before failure of the bus capacitor, and safe and reliable operation of an electric drive system is guaranteed.

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.

A system and method automatically evaluate participant online testing and automatically provide feedback regarding test results of a participant. Automatic evaluation includes processing video frames, audio, timestamped screenshots, and initial test results of the participant answering multiple test questions and transcribing audio. The system and method utilize optical character recognition on the screenshots to generate a set of text for each screenshot and compare the set of text from each timestamped screenshot to determine which screenshots are associated with each test question. The system and method further determine time periods for each question, segment the transcribed audio, the screenshots, and the video frames by question and select a screenshot and a video frame for each test question from the segmented screenshots and video frames. The system and method utilize a first AI tool and a second AI tool to determine whether the participant demonstrated mastery for each test question.

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 discloses a circuit board general online test method and system. The system comprises a master control system, a tool box, an online conveying device, an automatic docking device and a circuit board general test device. A general control system, an automatic docking device and a circuit board universal testing device are arranged on the side of the near end of the online conveying device, the automatic docking device is located on the other side, and the general control system is in communication connection with the online conveying device, the automatic docking device and the circuit board universal testing device; the tool box loaded with the circuit board to be tested is conveyed to the automatic butt joint device through the online conveying device, and the automatic butt joint device automatically achieves electrical butt joint between the tool box and the circuit board universal testing device. Test and data processing software is arranged in the circuit board general test device, and the test software is used for testing voltage, current, resistance, frequency and / or waveform of different circuit boards and carrying out data acquisition, statistical analysis, test report generation and the like. According to the invention, automatic on-line testing of different circuit boards is realized.

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.

The present application relates to a kind of material ignition effect online test system and method thereof, belong to material ignition effect research and application technical field, solve the technical problems of low heat flow loading level and the insufficient online test ability of material pyrolysis and ignition characteristic in the process of material ignition effect research.Its test system includes heat flow loading subsystem, effect online test subsystem, combustion chamber.Heat flow loading subsystem is used to apply heat flow irradiation to the material to be tested, effect online test subsystem is used to collect the ignition effect parameters of the material to be tested, and the combustion chamber provides irradiation space for the material to be tested.The test method includes test system self-checking, preparation of the material to be tested, the material to be tested is placed in the combustion chamber, test system setting, heat flow loading system setting, material ignition effect data acquisition and analysis steps.The present application is used for the online test of material ignition effect.

The present invention discloses an optical fiber system and method for online testing of free water content in aviation fuel. The testing system includes a single-wavelength laser light source with multiple wavelengths, a first optical fiber flange, a hollow-core optical fiber liquid sample cell, a second optical fiber flange, a photoelectric probe with a pigtail, a microfluidic sampling pump, a liquid sample outlet, a constant temperature device, and a host computer. The present invention online measures the dependence of the Mie scattering loss of free water microspheres suspended in a hollow-core optical fiber liquid sample cell filled with aviation fuel on different laser wavelengths to calculate the radius of the free water microspheres in the aviation fuel and the number of free water microspheres per unit volume, thereby measuring the free water content in the aviation fuel. The optical fiber testing system has a compact structure, small size, light weight, and requires a small sampling volume. It can quickly and accurately test free water content and is suitable for real-time online monitoring of trace free water content in aviation fuel.

The application discloses a kind of digital control circuit board anti-interference filter design methods under group pulse action, realize the accurate modeling of EFT noise to digital control circuit conduction interference coupling, and based on conduction interference coupling circuit model and failure threshold, the quantitative design of anti-interference filter is carried out.Compared with traditional method, the application provides a kind of method for establishing chip black box impedance model based on online test and vector matching method, solves the impedance model modeling problem of chip under no internal structure data, and establishes the conduction interference coupling model of digital control circuit under EFT noise, provides model basis for quantitative design;From the angle of quantitative design, the anti-interference filter design method of the application effectively improves the anti-interference level of digital control circuit.

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 present application provides an online testing method and device for performing reinforcement learning from multiple dimensions, thereby selecting test questions for users from multiple dimensions, so that the test results can better reflect the user's actual ability. It includes: obtaining a test question bank, which includes multiple collected test questions; obtaining a test model based on the test question bank and a strategy optimization algorithm, and the test model can be used to select at least one test question from the test question bank during the online test process. The test model can specifically include a state encoder and a recommender. The state encoder is used to obtain the difference between the input test questions to generate a state code, and the recommender can be used to output the test question according to the state code and the optimization target. The optimization target includes at least one of novelty or diversity. The measurement factor of novelty includes exposure rate, and the measurement factor of diversity includes whether there are new knowledge points.

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 provides a semiconductor chip classification system and a semiconductor chip classification method. The semiconductor chip classification system comprises a test machine, a production management system, a memory and a sorting machine. The testing machine is used for testing the semiconductor chips and carrying out online preliminary classification on the semiconductor chips. And the sorting machine carries out offline secondary classification according to the first text information generated by the memory. According to the invention, the sorting machine table and the testing machine table can be arranged in different spaces, so that the space of the second blanking area of the sorting machine table can be increased, and the number of the second blanking areas can be increased, and therefore, grade classification of more specifications can be met, and the testing requirement and the classification requirement of a user can be met. Moreover, the offline secondary classification process of the sorting machine does not affect the online testing and output of the testing machine, so that the testing efficiency of the testing machine can be ensured, and the testing cost is reduced.

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.