315 results about "Test performance" patented technology

A computer-implemented method is disclosed for transforming academic test performance into personalized feedback and learning recommendations. The method involves presenting an academic test to a user via a user interface of an online learning platform and receiving the user's submitted answers. The system accesses input parameters including historical user-performance data, correct answers, and coaching session data. The user's responses are compared with the correct answers to identify incorrect responses. A prompt generator creates a prompt to guide and constrain an AI engine in analyzing the test responses. The AI engine correlates the incorrect responses with historical performance data and coaching session information to detect learning patterns or recurring errors. Based on the identified patterns, the system generates personalized feedback and targeted learning recommendations to address specific learning gaps. The method enables adaptive, AI-assisted post-assessment guidance, improving learning outcomes through individualized support.

The invention relates to the field of industrial visual inspection, and provides an automatic test performance benchmark construction method which comprises the following steps: dynamically generating ROI (Region of Interest) parameters; performing pixel cutting on the target area of the production line according to the dynamically generated ROI parameters to generate a high-speed image data stream, and aligning the image acquisition moment with the mechanical motion phase of the production line; selecting a matched visual detection model based on target features in the high-speed image data stream, and outputting a defect detection result by the matched visual detection model; according to defect distribution parameters of a preset test scene, the simulation defect features are embedded into the high-speed image data stream, and a mixed test data stream is generated; performing multi-device time sequence alignment on the mixed test data stream and the defect detection result, and packaging into a standardized data set containing a unified time reference; and analyzing the standardized data set, comparing the simulated defect truth value label with a defect detection result, calculating a multi-dimensional performance index of the visual inspection system, and generating a test report containing parameter optimization suggestions.

The invention discloses an operation planning optimization modeling enhancement method, which comprises the following steps of: based on an operation planning optimization problem text file, constructing a structured problem representation containing a dependency relationship between constraints and original semantic information; according to the structured problem representation, executing logic consistency deduction by constructing and solving forward and reverse problem pairs, and generating a forward modeling result and a reverse verification set; performing multi-dimensional verification on the forward modeling result to identify potential modeling defects, and generating a structured counter-example test set for the potential modeling defects; and integrating the test performance of the reverse verification set and the structured counter-example test set, evaluating the credibility of the forward modeling result, and generating a final optimization model and a credibility evaluation report. According to the method, the logic preciseness and credibility of the automatic generation model can be improved, and quantitative reliability evaluation is provided for the model.

The technology disclosed teaches a method of testing performance of a device-under-test during cloud gaming over a live cellular network. The method comprises instrumenting the device-under-test with at least one instrument app that interacts with a browser on the device-under-test and captures performance metrics from gaming network traffic. The browser and the instrument app can be invoked using a test controller separated from the device-under-test, causing the browser to connect to a gaming simulation over the live cellular network. A segmented gaming image stream is transmitted to the browser, with segmented playing at varying bit rates and image complexity while the instrument app causes the browser to transmit artificial gameplay events to a gaming simulation test server. Performance metrics from the gaming network traffic are captured, as well as gaming images rendered by the browser during the segmented gaming image stream.

The invention belongs to the technical field of central control screen performance testing, and particularly relates to a new energy automobile central control screen performance testing device which comprises a dynamic extreme environment reproduction cabin, a bionic man-machine interaction behavior simulator, a multi-modal parameter synchronous acquisition array, an intelligent decision-making level analysis and evaluation engine and a holographic visualization decision-making support terminal. Physical environment support is provided through the dynamic extreme environment reproduction cabin, environment parameters of the dynamic extreme environment reproduction cabin are synchronized to the multi-modal parameter synchronous acquisition array in real time through the CAN bus, and operation data generated by the bionic man-machine interaction behavior simulator and performance indexes acquired by the multi-modal parameter synchronous acquisition array are preprocessed by the edge computing node and then are transmitted to the multi-modal parameter synchronous acquisition array. The holographic visual decision support terminal is transmitted to the intelligent decision level analysis and evaluation engine through the gigabit Ethernet, and an evaluation report generated by the intelligent decision level analysis and evaluation engine drives the holographic visual decision support terminal to display a result, so that the construction of a closed-loop test system is realized, the test efficiency and the performance evaluation accuracy are remarkably improved, and the automation level and the intelligent level are high.

The invention discloses a battery pack test method, a storage medium and electronic equipment, and relates to the field of batteries. The method comprises the following steps: carrying out a charge-discharge test on a to-be-tested battery pack, and obtaining long-cycle test data of the to-be-tested battery pack; performing test condition analysis on the long-cycle test data to check whether the to-be-tested battery pack has an abnormal point, and outputting an abnormal point check result; and inputting the long-loop test data into a preset algorithm program under the condition that the abnormal point checking result is passed, and obtaining a test performance report of the to-be-tested battery pack according to the preset algorithm program. According to the invention, the problem of low long-cycle test efficiency of the battery pack in the prior art is solved.

The invention discloses a method and system for testing the performance of a magnetic flux leakage detection probe, and relates to the related field of magnetic flux leakage nondestructive detection.The method comprises the steps that a magnetic field is generated on the surfaces of a plurality of standard defect simulation samples through an excitation component, magnetic flux leakage signals are excited, the magnetic flux leakage signals are received through a magnetic flux leakage detection probe array, and a probe electric signal set is output after conversion; performing sensitivity feature extraction on the probe electric signal set, and analyzing to obtain a probe sensitivity test result; extracting stability characteristics, and analyzing to obtain a probe stability test result; multi-mode switching reliability feature extraction is carried out, and a probe multi-mode switching reliability test result is obtained through analysis; and integrating test results to obtain a probe performance test result. The technical problems that in an existing magnetic flux leakage detection probe performance test, the accuracy of a test result is difficult to guarantee, and the test efficiency is low are solved, and the technical effects of improving the accuracy and reliability of the test result and improving the test efficiency are achieved.

The invention provides a performance testing method, device and equipment for an embedded multimedia card and a storage medium, and relates to the technical field of storage testing, and the method comprises the following steps: carrying out benchmark testing on the embedded multimedia card to obtain benchmark performance data; dynamically adjusting a power supply according to the reference performance data during read-write operation of the embedded multimedia card to obtain test performance data of different adjustment strategies; analyzing response performance of a power-off notification mechanism function of the embedded multimedia card according to the test performance data to obtain performance analysis results of different adjustment strategies; optimizing a power-off notification mechanism of the embedded multimedia card according to a performance analysis result; and testing the optimized embedded multimedia card under various power supply fluctuation conditions to obtain a performance test report. Test conditions and parameters are dynamically adjusted according to real-time feedback, and a power management and data transmission mechanism of the embedded multimedia card is optimized, so that the response time of a power-off notification mechanism is shortened.

The invention relates to the technical field of building thermotechnical testing, solves the technical problem that in the prior art, due to the fact that an experimental environment lacks the sky background radiation cold effect, the accuracy of enclosure structure performance testing is low, and provides an enclosure structure performance testing method and system coupled with the sky cold and hot radiation effect. The method comprises the following steps: establishing an equivalent sky effective temperature control model according to a meteorological database; acquiring test environment parameters through a test environment parameter control module according to the equivalent sky effective temperature control model; acquiring real-time test data of the enclosure structure test piece under the control of the test environment parameters through a test data acquisition module according to the test environment parameters; and analyzing the real-time test data through a test data analysis module to obtain a test result. The controllable equivalent sky effective temperature model is introduced, and the problems that in the prior art, the sky background radiation cold effect is lacked, and the deviation between the test result and the actual building service environment is large are effectively solved.

The invention relates to a chip evaluation report generation method and device, a storage medium and electronic equipment, and relates to the technical field of artificial intelligence, and the method comprises the steps: determining a to-be-tested chip and to-be-tested performance associated with the to-be-tested chip, obtaining original chip performance data corresponding to the to-be-tested chip and a historical test report example associated with the to-be-tested performance; based on a preset report outline generation model, according to the to-be-tested performance and the historical test report examples, generating a test report outline corresponding to the to-be-tested chip; generating a performance test result according to the original chip performance data based on the content generation large model, and mapping the performance test result to a test report outline to obtain an original chip evaluation report; and evaluating the original chip evaluation report based on a preset report evaluation model to obtain a report evaluation result, and determining a target chip evaluation report according to the report evaluation result and the original chip evaluation report. According to the invention, the generation efficiency of the evaluation report is improved.

The invention relates to the technical field of fuel cells, in particular to a fuel cell gas diffusion layer performance comprehensive evaluation method and system and electronic equipment. The method comprises the following steps: acquiring multiple evaluation parameters of a target gas diffusion layer in the fuel cell under an actual working condition; wherein the multiple evaluation parameters comprise a polarization test performance parameter, an electrochemical impedance spectroscopy test performance parameter and a heat conduction test performance parameter; and obtaining a pre-constructed comprehensive evaluation model, and substituting the multiple evaluation parameters into the comprehensive evaluation model to obtain a comprehensive evaluation result of the target gas diffusion layer. Therefore, according to the fuel cell gas diffusion layer performance comprehensive evaluation method and system and the electronic equipment provided by the invention, the problem that an existing evaluation system only measures a single function and neglects a synergistic effect is fundamentally solved, comprehensiveness of evaluation dimensions is realized, designers can be helped to avoid overview decision errors, and the evaluation precision is improved. And a clear basis for model selection or GDL structure optimization guidance can be provided for designers.

The invention discloses a paper tape wear resistance testing machine, which relates to the technical field of wear resistance testing equipment, and comprises a winding assembly mounted at one end of a rack and used for winding a paper tape. According to the wear resistance testing machine for the paper tape, the cooling mechanism, the cooling plate and the leveling roller extrude and cool the paper tape, and meanwhile, the swing plate rotates and swings back and forth to generate airflow, so that residual heat on the paper tape is taken away by the airflow, and the influence on the test performance of the paper tape due to expansion of the surface of the paper tape caused by friction is avoided; fibers can be helped to recover to the original state through cooling, the possibility of breakage of the paper tape is reduced, when the paper tape is accidentally broken, the breakage condition of the paper tape is reflected through the triggering mechanism, the limiting mechanism is triggered to press the broken and retracted end of the paper tape, the broken end of the paper tape is prevented from continuing to retract, the downtime is shortened, the test is rapidly recovered, and the test efficiency is improved. Abnormal abrasion of the workpiece or long-time interruption of data recording can be reduced, the accuracy of a test result is ensured, and the influence of test delay on the whole progress is reduced.

The invention discloses a method and device for measuring the thickness of an LED wafer of a vertical structure, a spot measurement machine table and a medium, and relates to the technical field of wafer measurement, and the method comprises the steps: loading a wafer on the spot measurement machine table; image information of the wafer is collected, and mark points of the wafer are identified according to the image; constructing at least two measurement points according to the mark points; respectively measuring height information of the measuring points; calculating thickness range information and total thickness change information of the wafer according to the height information; judging whether the wafer is qualified or not according to the thickness range information and the total thickness change information; if yes, testing performance parameters of each chip in the wafer, and cutting the wafer to form independent chips; and if not, a thickness abnormity alarm signal is generated. According to the invention, the thickness test and the performance test can be carried out through the same point test machine, the transfer frequency of the wafer is reduced, the technological process is reduced, and the production efficiency is improved.

The invention provides a test method of a high-precision greenhouse gas concentration observation system, which belongs to the technical field of concentration observation and comprises the following steps: configuring test schemes based on different test performances for the concentration observation system according to the system structure of the concentration observation system; performing measurement medium deployment on the concentration observation system according to the test scheme, performing performance test on a corresponding test target based on the deployed measurement medium, and constructing a corresponding performance matrix; analyzing each performance matrix, and setting an abnormal level label for the corresponding performance matrix in combination with the performance standard of the corresponding test performance; and generating an early warning report of the concentration observation system based on all the abnormal level labels for reminding. According to the method, device deployment is carried out on the concentration observation system through test schemes under various test performances, multi-aspect performance test is realized, and an early warning report for the system is output through matrix analysis and label setting, so that the system performance meets the required observation requirements and the reliability of the system is ensured.

The invention discloses a device and a method for testing the performance of a dynamic pressure sensor in a high-temperature environment, belongs to the technical field of pressure measurement, and aims to solve the problem that the dynamic response characteristic and the measurement precision characteristic cannot be quantitatively evaluated when the dynamic pressure sensor performs dynamic pressure measurement in the high-temperature environment. The method comprises the following steps: firstly verifying the characteristics of a tested sensor in a normal-temperature working mode based on a pipe wind tunnel, and then in a high-temperature working mode, utilizing the characteristic that the influence of airflow temperature on the pressure output of the sensor is negligible, according to the in-situ actual measurement output of a post-wave total pressure sensor, and according to the relationship between the post-wave total pressure and the wave-front total pressure, calculating the wave-front total pressure of the tested sensor. And the theoretical value of the high-temperature-state wavefront total pressure is used as a standard given value of the tested sensor adopting a pressure guiding pipe mode in a high-temperature working mode. According to the method, corresponding theoretical support can be provided for the standard pressure and the environment temperature, and the standard pressure and the environment temperature can be adjusted.

The invention relates to the technical field of direct-current stabilized power supply performance testing, in particular to a direct-current stabilized power supply performance parameter testing method and system, and the method comprises the steps: collecting the output voltage data of a direct-current stabilized power supply within a preset time period under each preset target output voltage; uniformly dividing each preset time period into each sub-time period and numbering the sub-time periods according to a time sequence to obtain an amplitude distribution coefficient of each same frequency under each target output voltage; screening the characteristic frequency of each ripple; acquiring amplitude change characteristic values of the same ripple characteristic frequencies in the same sequence number sub-periods under all target output voltages; acquiring the ripple same-frequency difference degree of each same ripple characteristic frequency; screening each ripple frequency from all the same ripple characteristic frequencies, and obtaining the ripple floating ratio of each target output voltage; and evaluating the abnormal condition of the performance of the DC stabilized power supply. The invention aims to realize comprehensive and accurate evaluation of the performance of the direct-current stabilized power supply.

The invention provides a material and component performance testing method based on remote monitoring, which comprises the following steps: before testing, a control computer monitors internal environment data of a temperature change test box through sensor equipment, controls a box door of the temperature change test box to be unlocked based on the internal environment data, and prompts a tester to place a test object; a tester enters the temperature change test box and places a test object, and the control computer monitors the entry and exit of the tester through the sensor equipment and controls the door of the temperature change test box to be locked; in the test process, the control computer controls the temperature change test box to test the performance of the test object according to a preset test scheme, and the test process is automatically recorded based on the block chain; after the test is finished, the control computer monitors the internal environment data of the temperature change test box through the sensor equipment, controls the box door of the temperature change test box to be unlocked based on the internal environment data, and prompts a tester to take out a test object, so that the test efficiency can be improved, and potential safety hazards can be eliminated.

The invention discloses an effectiveness evaluation method and device for a test case, equipment and a storage medium. The method comprises the following steps: acquiring relevant parameters of a test case during execution, wherein the relevant parameters comprise defect relevant parameters, test cost relevant parameters and an environment scene; analyzing the defect related parameters to obtain a defect capture rate of the test case during execution; analyzing the related parameters of the test cost to obtain the test cost of the test case during execution; and determining a test efficiency value of the test case based on the defect capture rate, the test cost and the environment adaptation coefficient corresponding to the environment scene. According to the method, the related parameters of the test case during execution are obtained and analyzed, so that the test efficiency value of the test case can be obtained, and the efficiency of the test case is determined.

The invention belongs to the technical field of high-temperature heat pipe heat transfer performance testing, and particularly relates to a high-temperature heat pipe performance testing device and method under the microgravity condition. The device comprises a heat pipe performance test body, a test cabin, a protection recovery system and a high-altitude carrying platform, the heat pipe performance test body is arranged in the test cabin, and the high-altitude carrying platform comprises a lift-off mechanism and a release mechanism and is used for sending the test cabin to an airspace at a specified height and releasing the test cabin to realize free falling of the test cabin. The protection recovery system adopts two-stage deceleration buffering to protect the test cabin. The device has the advantages of being controllable in cost, long in microgravity time and capable of being repeatedly used, performance testing of the large-length-diameter-ratio heat pipe under the simulated space microgravity environment can be carried out, and the performance of the high-temperature heat pipe under the real working condition can be accurately and comprehensively evaluated; the device is especially suitable for testing the starting characteristic, transient and steady-state characteristics and temperature uniformity of the high-temperature heat pipe under the microgravity condition.

The present invention provides a method for testing and evaluating the performance of a pre-embedded bolt sleeve interface of a wind turbine blade, wherein the method comprises: obtaining blade root connection parameters of the pre-embedded bolt sleeve interface to be tested, and calculating the bolt axial force on a single bolt according to the blade root connection parameters; wherein the blade root connection parameters include: blade root fatigue load when R=-1 under 10 million times, number of bolts, blade root axial force, blade root limit load and blade root pitch circle diameter; calculating the static strength safety factor of the pre-embedded bolt sleeve interface according to the bolt axial force; obtaining a blade root fatigue load matrix of the pre-embedded bolt sleeve interface to be tested, and obtaining the corresponding fatigue strength according to the blade root fatigue load matrix; wherein the blade root fatigue load matrix includes: stress amplitude, stress mean and number of cycles; calculating the damage factor of the pre-embedded bolt sleeve interface according to the fatigue strength; and obtaining the test performance of the pre-embedded bolt sleeve interface according to the static strength safety factor and the damage factor of the pre-embedded bolt sleeve interface.

The invention relates to the technical field of fiber performance testing, in particular to a polyurethane elastic fiber bundling performance testing device which comprises a control frame, the bottom end of the back of the control frame is fixedly connected with an adjusting bottom frame, and the bottom end of the control frame and the bottom end of the adjusting bottom frame are fixedly connected with a supporting base. The front face of the control frame and the back face of the adjusting bottom frame are each provided with a testing assembly, and the surface of the adjusting bottom frame is sleeved with a protection assembly. According to the polyurethane elastic fiber bundle testing device, through the arranged testing assembly, the device can conduct more adaptive analog performance testing operation on polyurethane elastic fiber bundles, in the actual using process, polyurethane elastic fibers penetrate through a positioning ring sleeve on the surface of a limiting sliding seat, then the two ends of the polyurethane elastic fibers are connected with the positioning ring sleeve, and the two ends of the polyurethane elastic fibers are connected with the limiting sliding seat. And according to the internal and external states of the optical fiber bundle, the optical fiber bundle is adaptively bound on the dynamometers at one ends of the outer ring cylinder, the central ring cylinder and the central inner cylinder in the first test sleeve and the second test sleeve.

The application discloses a test method, device, equipment, storage medium and product, and belongs to the technical field of artificial intelligence. The method comprises the following steps: obtaining a test sample; performing target identification processing on the test sample to obtain identification information corresponding to the original sample and the adversarial sample respectively; obtaining sample information corresponding to the original sample and the adversarial sample respectively; determining at least one test performance index corresponding to the target identification processing based on the sample information and the identification information; and determining a test result corresponding to the target identification processing based on the at least one test performance index. The embodiments of the application can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation, auxiliary driving and vehicle-mounted application. The sample information and the identification information corresponding to the original sample and the adversarial sample are combined to determine the at least one test performance index to comprehensively measure the robustness of the target identification processing, so that a comprehensive and accurate test result is obtained, and the accuracy of the test performance index, the accuracy and the scientificity of the test result are improved.

The application discloses a kind of multi-modal feature fusion knowledge tracking methods for computer programming test, belong to the field of intelligent education.There is following step: (1) collection and arrangement university computer programming test and student's test record, artificial marking label, constructs programming test knowledge tracking dataset Buddy.(2) design hypergraph network structure fusion test rich text information and multi-knowledge point label information.(3) utilize relationship graph network to depict the educational relationship between student, test and knowledge point, and obtain the feature representation of the three kinds of objects fused dependence by network iteration update.(4) effective fusion of multi-modal features is carried out using self-attention mechanism, and integrated into the knowledge tracking model designed by oneself, analyze student knowledge state and predict test performance.The method of the application fuses multi-modal information in computer programming test and student test record to help the model improve performance, and has high use value.

The invention discloses a power distribution network topological structure construction method and system adaptive to a double-high characteristic, and relates to the field of topology, and the method comprises the steps: collecting double-high characteristic data through a sensor, building an evaluation system, and calculating a node comprehensive influence index; k-means clustering grouping is carried out based on the index and the geographic position, an intra-group minimum spanning tree initial topology is constructed with the transformer substation as the center, and dynamic adjustment is carried out after simulation verification; then, the inter-group power exchange requirement is determined according to the load and new energy characteristics, and the optimal contact topology is determined through multi-objective optimization; and finally, the intra-group topology and the inter-group topology are integrated to form a complete structure, and a verification model is established to test the performance under different scenes. The method has the advantages that the challenges of high-proportion new energy and power electronic equipment are effectively coped with and stable and efficient operation of a power distribution network is guaranteed by comprehensively collecting double-high data, scientifically clustering nodes, hierarchically optimizing intra-group and inter-group topologies and combining double-high scene simulation dynamic adjustment and performance verification.

A kind of comprehensive testing device for nuclear power plant control system relay fuse, it is characterized in that: including tester native, special-shaped heat pipe heat dissipation shielding module, magnetic interface conversion module, measured relay / fuse, external computer, external power supply;External power supply, measured relay / fuse, external computer are connected with tester native through shielding layer panel;External power supply powers tester native, external computer issues instruction to control tester native;Magnetic interface conversion module is connected with tester native, shielding layer panel.Connecting with tester native, shielding layer panel through magnetic interface conversion module, the stable and reliable work of relay fuse testing device in strong ionization environment is guaranteed;At the same time, through a series of design, it is guaranteed that the heat dissipation performance and electrical performance of relay fuse testing device are not influenced by shielding measure, the test function and test performance of relay fuse testing device are effectively guaranteed without discount.

The invention discloses a production scheduling method of a test fixture, electronic equipment, a storage medium and a program product, and relates to the technical field of test fixture scheduling, and the method comprises the steps: obtaining order information and resource information, the order information comprises a test priority corresponding to a test task, and the resource information comprises the test priority corresponding to the test task; the resource information comprises the test performance of the at least two test jigs and the station configuration of the test station, processing the order information and the resource information by using an automatic production scheduling model, and generating a production scheduling scheme with the maximum test efficiency under the condition of meeting the limit conditions corresponding to the test performance, the test priority and the station configuration. By comprehensively considering the characteristics of the test task, the test fixture and the test station, the automatic production scheduling model can generate the automatic production scheduling scheme based on the multi-dimensional information, the accuracy of the target production scheduling scheme under the function test scene is improved, and thus the test efficiency when the test task is executed is improved.

The invention relates to a method for testing construction performance of dry-mixed mortar in a summer high-temperature environment, which comprises the following steps of: S1, taking usable time, scraping property and light receiving time as test indexes, and performing simulation test on a dry-mixed mortar sample to be tested; s2, a plurality of trained scoring persons are selected, and the test indexes are scored; and S3, comprehensively judging whether the construction performance of the to-be-detected dry-mixed mortar in the summer high-temperature environment is qualified or not according to a scoring result. By determining the test indexes of the construction performance quality of the dry-mixed mortar in the summer high-temperature environment, the influence of environmental factors on the test result can be reduced, the purpose of quickly and accurately detecting the construction performance of the dry-mixed mortar to be detected is achieved, the advantages and disadvantages of the construction performance of the dry-mixed mortar product in summer are objectively reflected, and the method has reference significance.

The invention discloses an underwater motor load simulation test device, which comprises a water tank and an axial force loading system, and is characterized in that the axial force loading system is sequentially connected with a pushing and twisting assembly, a front connection telescopic sealing assembly and an output load system; the actual working condition of the underwater motor in the underwater operation process can be simulated, a reference basis is provided for test performance verification of the underwater motor, and high economic value and social benefits are achieved.

The invention relates to a battery piece electrical performance testing method and device, a storage medium and a battery piece testing machine, and the method comprises the steps: enabling a probe of the battery piece testing machine to be in contact with a whole spliced battery piece, and obtaining the testing performance data of the whole spliced battery piece and the testing performance data of a half battery piece; according to the test performance data of the half battery piece, analyzing to obtain performance index reference data; determining a performance index coefficient according to the test performance data and the performance index reference data of the spliced whole battery piece; and correcting the test performance data of the half battery piece according to the performance index coefficient to obtain corrected performance data of the half battery piece. When performance detection is carried out on the half battery piece, the half battery piece is spliced into the whole battery piece to obtain data, the performance index coefficient is analyzed to correct the test performance data of the half battery piece, and the test accuracy of the sliced battery piece is improved.

The invention relates to a PCBA detection method and system. The method comprises the following steps: injecting an alternating current excitation signal to a preset test point on the PCBA when the PCBA is not powered on; collecting a first voltage-current response curve; constructing a corresponding feature vector, and inputting the feature vector into a pre-trained machine learning classification model to obtain a power failure diagnosis result; collecting a first electric signal of the key node in a power-on working state of the PCBA; constructing a first feature vector used for representing the operation state of each key node; inputting the first feature vector into a pre-trained isolated forest model to obtain a power-on diagnosis result; based on the power-down diagnosis result and the power-on diagnosis result, establishing a test performance database in which test item results and fault features are recorded, and based on the historical fault frequency in the test performance database and the fault features obtained in real time, dynamically reordering the test items which are not executed, and updating the current test sequence. The intelligent test process is realized, and the detection efficiency is improved.