451 results about "Test analysis" patented technology

The invention discloses a ship mobile energy storage system CAN communication protocol automatic test system and method, and the system comprises a protocol modeling and test configuration module, a simulation node behavior simulation module, a CAN bus interaction and power closed loop module, and a test analysis and result evaluation module. A CAN communication protocol specification of the ship mobile energy storage system and parameters of tested equipment can be obtained, a protocol analysis model and a test configuration file are constructed for format verification and logic consistency verification, meanwhile, a corresponding test case sequence is automatically generated, and the message sending time is controlled to generate a time sequence simulation message flow; and sending the time sequence simulation message flow to the tested equipment, simulating energy interaction behavior acquisition to generate a power feedback data set, testing to obtain a signal consistency deviation and a power execution error to construct a protocol conformity evaluation matrix, and generating a visual test report. According to the invention, the high coverage rate and automatic closed-loop test of the CAN communication protocol can be realized.

The invention relates to the field of chip testing, in particular to a chip signal integrity test analysis method, device and equipment and a storage medium. The method comprises the following steps: extracting a chip performance index based on a chip design requirement document; performing saturation frequency excitation setting based on the chip performance index to generate an excitation test signal; performing a multi-port signal excitation test and parallel signal sampling based on the excitation test signal to generate a high signal-to-noise ratio response data set; obtaining a chip layout design file; performing chip communication link analysis on the chip layout design file, and constructing communication line layout data; performing signal mapping and waveform quality evaluation on the communication line layout data based on the high signal-to-noise ratio response data set to obtain a node signal distortion rate; and performing signal integrity quantization and theoretical signal integrity score comparison based on the node signal distortion rate, and marking a fault node. According to the invention, the chip testing efficiency is improved, and the signal abnormal part of the chip is accurately and efficiently detected.

The invention discloses a code generation and restoration method and device based on multi-round feedback of a large language model, and the method comprises the following steps: 1, converting problem description into a structured tetrad (target, input, output and constraint) through a two-stage task demand deconstruction mechanism, and generating a pseudo-code frame according to the structured tetrad; 2, generating a plurality of candidate code schemes in parallel based on different implementation strategies; 3, selecting an optimal code implementation scheme through multi-dimensional evaluation; 4, generating an extended test case through boundary condition analysis and public test reasoning, and expanding a verification range; 5, classifying error types in combination with static analysis and dynamic execution information, and applying a special repair strategy; 6, providing detailed repair reasons and ideas by an interpretable repair mechanism; and 7, establishing a multi-round feedback repair verification iteration mechanism composed of testing, analysis, repair and verification. According to the method, the performance of an existing large language model in processing a complex programming task is effectively improved.

The invention provides an integrated circuit performance testing method based on multi-dimensional parameter fusion, and belongs to the technical field of integrated circuit performance testing. S2, collecting multi-dimensional parameters; s3, data preprocessing; s4, carrying out multi-dimensional parameter fusion; and S5, performance test analysis. Through multi-parameter coverage, multi-algorithm collaboration and full-process closed loop, the problems of isolation, fragmentation and simplification of traditional testing are solved, and systematic and refined technical support is provided for performance testing of the integrated circuit.

The invention discloses a new energy broadband test analysis management and control method and system, and relates to the technical field of new energy detection and intelligent management and control, and the method comprises the following steps: obtaining a multi-window splicing frequency spectrum of a load switching edge, superposing phase lock consistency verification in a splicing frequency spectrum result, generating a frequency spectrum leakage suspicion chart, and carrying out the boundary constraint for energy track extraction; under the constraint of a spectrum leakage suspicion chart, an energy center track, a group delay curve and a phase derivative sequence are extracted, and a cross-frequency migration fingerprint is constructed and is used as a basic evidence for misjudgment traceability. By means of spectrum suspicion identification, feature fusion modeling, misjudgment traceability, label correction, energy reverse intervention and the like, accurate identification and closed-loop regulation and control of false operation caused by spectrum leakage are achieved, high identification accuracy, low misjudgment rate, high anti-interference performance and quick response capacity are achieved, and the operation stability and safety of a new energy field station are remarkably improved.

The invention is applicable to the technical field of PCB testing, and particularly relates to a PCB electrical performance testing method, which comprises the following steps of: acquiring test object information; wherein the object information comprises a PCB image and at least one test area, the PCB image corresponds to the PCB and reflects the circuit structure of the PCB, the test area is marked on the PCB image, and the test area comprises a main test position and an auxiliary test position; when an electrical performance test instruction is received, contact judgment information is obtained based on the test object information; when it is detected that the auxiliary test probe is in stable contact with the auxiliary test position, the control device controls the main test probe to continuously send test signals and collect test results in real time, and test analysis information is obtained based on the test results. According to the PCB electrical performance test method provided by the embodiment of the invention, the problem of high test error caused by asynchronous actions of the main test probe and the auxiliary test probe can be improved.

The invention relates to the technical field of network security, and discloses a multi-agent cooperative RESTful API vulnerability test method. Constructing a parameter structured representation by analyzing an API interface specification, generating a test value conforming to service semantics by using a large language model, and establishing a semantic request baseline representing normal service logic; constructing a multi-agent collaborative architecture including vulnerability reasoning, case generation, test execution, test analysis and test management; all the agents are coordinated to carry out iterative vulnerability testing through a signal mechanism and a state transition table, and API service analysis, test strategy customization, use case directional variation and execution, result study and judgment and strategy optimization are achieved; and finally generating a structured vulnerability report. According to the method, the problems of semantic blind areas, shallow analysis layers, insufficient adaptive capacity and the like are solved, security risks such as business logic vulnerabilities and sensitive data leakage in the RESTful API can be deeply detected, and the accuracy and coverage rate of vulnerability detection are remarkably improved.

The invention provides a mining motor no-load and load characteristic test analysis method and system, and relates to the field of intelligent image analysis, a Hall array sensor is arranged on a motor stator tooth portion to collect air-gap magnetic field distribution data, and a high-frequency signal injection method and a wavelet singular value decomposition technology are combined, so that the load characteristic of a mining motor is obtained. The air gap magnetic field distortion degree and the air gap dynamic eccentricity index are accurately calculated, and meanwhile a load dynamic compensation coefficient is generated to correct the motor output torque. Therefore, the dynamic characteristics of the motor in the no-load and load states can be comprehensively reflected, the accuracy of the load capacity evaluation of the mining motor is improved, and potential problems in the operation of the motor can be found in time, so that the performance of the motor is optimized, the service life of the motor is prolonged, and the safety and reliability of mining production are improved.

The invention relates to a driver fatigue state data determination method and device and computer equipment. The method comprises the following steps: acquiring environment state data corresponding to a running automobile and driver action data corresponding to a driver; according to the environment state data, risk events of the running automobile in a future preset time domain are predicted and analyzed, and task complexity analysis data are obtained; performing mutual information analysis on a corresponding relation between the environment state data and the driver action data to obtain driver-man mutual information analysis data; according to the task complexity analysis data and the driver mutual information analysis data, calculating a fatigue index of the driver at the current moment to obtain an information efficiency attenuation fatigue index; and performing sequential statistical test analysis on the information efficiency attenuation fatigue index to obtain fatigue state data corresponding to the driver. By adopting the method, the generalization ability and the stability of determining the fatigue state of the driver can be effectively improved.

The invention relates to the field of test and analysis of impurity element content of primary magnesium ingots, in particular to a method for testing impurity element content of primary magnesium ingots by ICP (inductively coupled plasma) spectrometry, which comprises the following steps: firstly adding H2O2 into a magnesium ingot sample to infiltrate the sample, then adding HCl at an interval of less than 1 minute to carry out first reaction, carrying out first heating after the reaction is finished, and then carrying out second heating, cooling to 20-30 DEG C, transferring to a volumetric flask, and fixing the volume by using third-level water to obtain a sample solution; establishing a working curve by using an ICP spectrometer and a standard solution; testing the sample solution; the ratio of the mass of the magnesium ingot sample to the volume of H2O2 to the volume of HCl is 1: (3-10): (30-54), the method fills the standard vacancy of ICP spectrometry analysis of the silicon element in the primary magnesium ingot, a reliable basis is provided for chemical component analysis of the primary magnesium ingot, the test result is surface, and the method for testing the mass fraction of the impurity elements in the primary magnesium ingot provided by the invention has the advantages of high analysis precision, simple operation, high accuracy and high reliability. The analysis period is short, and related chemical varieties are few.

The invention discloses a gallium oxide semiconductor device test data analysis system, which relates to the field of semiconductors, solves the problem that the existing semiconductor device test data analysis system is poor in analysis effect, and comprises an electrical index module, a data analysis module, a data analysis module and a data analysis module, the photoelectric index module is used for carrying out various photoelectric index tests on the sample semiconductor device in the photoelectric index test period and obtaining a periodic photoelectric index sorting queue according to the test result; and the test analysis module is used for carrying out test data analysis on the sample semiconductor device according to the periodic electrical index sorting queue and the periodic photoelectric index sorting queue, and feeding back an analysis result. According to the invention, the accuracy and comprehensiveness of the test data analysis result can be improved.

The invention relates to the technical field of operation management, in particular to an airport intelligent global situation awareness and intelligence analysis management method and system. The method comprises the following steps: capturing corresponding global operation data in real time to generate an airport global original data set; performing airport operation map construction and pressure elasticity test analysis on the airport global original data set to generate an airport operation global pressure assessment result; performing airport operation pressure planning and global situation awareness comparative analysis on the basis of an airport operation global pressure assessment result to generate an airport actual operation global situation awareness model; carrying out risk early warning information analysis and airport omnibearing comparison based on the airport actual operation global situation awareness model, and generating an airport global operation process redisk report containing deviation analysis; and performing operation optimization and improvement analysis based on the airport global operation process recovery report to obtain an airport operation global optimization and improvement management scheme. The airport operation efficiency can be remarkably improved.

The invention discloses a chip test retrieval method and system based on a large model, and the method comprises the following steps: collecting chip test documents, and constructing a chip test vector knowledge base; receiving user query, and executing search in the knowledge base by using the word vector model structure; richer context information is generated based on a retrieval result and user query, and a test case or a test analysis report is generated through a fine-tuned large model. According to the method, the retrieval capability and the generation capability are effectively integrated, efficient retrieval of test instructions and knowledge and automatic generation of test cases / reports are achieved, and the chip test efficiency and quality are remarkably improved. Meanwhile, the retrieval generation system adopts a Django framework development platform, performs real-time streaming output and real-time feedback of retrieval results by means of the MyWebsocket technology, and writes question and answer data into MySQL. The system comprises a knowledge base construction module, a retrieval module, a generation module, a streaming interaction module and a data storage module. Compared with the prior art, the method has the advantages that the test instruction retrieval accuracy is improved by more than 18%, the test case generation time is shortened by 60%, and the test knowledge is shared and reused.

The invention relates to the technical field of quality detection, and particularly discloses a metal product quality detection system which is provided with a three-dimensional scanning module, a data capturing module, a data self-encoding module, a destructive testing module and an image analysis module. The three-dimensional shape of the metal product is scanned and reproduced based on a laser scanning imaging technology to obtain a three-dimensional model of the metal product, a light signal value is captured and analyzed to obtain surface parameters of the metal product, a surface quality evaluation value is generated, and further sampling is carried out for destructive testing. And analyzing the surface quality evaluation equipartition and anti-damage parameter weighted qualified rate of each metal product sample set to obtain a comprehensive quality score of each metal product sample set, and drawing, so that the reduction of errors of metal product quality detection evaluation is facilitated, and the quality detection and logicality and the metal product quality detection efficiency are improved. Visual presentation is carried out based on the comprehensive quality score, so that a decision maker can read a quality detection result and make a further decision.

The invention discloses a semiconductor packaging process dynamic optimization system and method, and relates to the technical field of semiconductor packaging process optimization. A dynamic optimization system for a semiconductor packaging process comprises a data acquisition module, a fingerprint generation module, an index evaluation module, an optimization model construction module, a parameter solving module, a parameter bias module, a feedback detection module and a test analysis module. According to the method, a soft sensor model taking batch fingerprints as a core is introduced into a semiconductor packaging process, and dynamic process data and equipment state information are combined, so that high-precision prediction of a key process quality index and an energy consumption index is realized; through fusion of an extreme value theoretical model and a tail risk quantile evaluation method, deviation correction is carried out on a preliminary prediction result of the soft sensor, and robustness and safety of process quality prediction are improved.

The invention provides a vulnerability detection method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of computers. The method comprises the following steps: acquiring a code semantic map of a to-be-detected item; performing test analysis on the to-be-detected item to obtain a vulnerability detection path of the to-be-detected item; and sending a vulnerability detection request to the large language model. And if missing element information returned by the large language model for the vulnerability detection request is received, matching nodes in the code semantic map based on the missing element information. And for each code element in the missing element information, determining a target node from the matched node based on the semantic association degree between the node matched with the code element and the vulnerability detection path, thereby sending a new vulnerability detection request to the large language model. By implementing the method and the device, the code context information can be accurately provided when the big language model is adopted for vulnerability detection, and the vulnerability detection accuracy is improved.

The invention provides a test data processing method and device, equipment and a storage medium, chip test data in a test file is read according to a preset frequency, and the latest read part of chip test data is refreshed and displayed on a data display interface, so that a user can monitor a test flow in real time in a chip test process, and moreover, the test efficiency is improved. A virtual batching function is provided, statistical analysis can be performed on obtained chip test data according to a preset statistical dimension at any time in a chip test process, statistical analysis data can be displayed, a sub-test file which can be analyzed by a test analysis tool is generated based on the statistical analysis data, and an analysis report is generated by utilizing the test analysis tool. A user can determine the test condition of each test item or each to-be-tested chip in the chip test process without waiting for the end of a chip test project, and abnormity can be found in time.

The invention provides a double-unfolding lifting type extra-high voltage alternating current withstand voltage test vehicle and a use method thereof. The test vehicle comprises a high voltage test unit, a bearing unit, a double-unfolding lifting carriage and a fixed carriage, wherein the double-unfolding lifting carriage and the fixed carriage are installed on the bearing unit. The top end of the high-voltage test unit is provided with a metal grading ring, the outer side is provided with an inflation grading ring, and the inner side is fixedly provided with a high-voltage corona-free wire. The double-unfolding lifting carriage can form a left half carriage and a right half carriage to expose the high-voltage test unit when being laterally unfolded and descended, and can form a closed carriage to cover the high-voltage test unit when being lifted and retracted; a bearing and overturning unit is installed in the double-unfolding lifting carriage and can adjust the equipment angle of the high-voltage test unit. A test control system, a drive control system and a test analysis system are integrated in the fixed carriage. On the basis of reducing the space size of the test vehicle, the space insulation distance is guaranteed as much as possible, the installation efficiency of the corona-free wire and the integration degree of the test vehicle are improved, and the working efficiency of the voltage withstanding test is effectively improved.

The invention discloses a multi-parameter dynamic coupling hydrothermal activity deterministic calculation and quantitative evaluation method which is used for quantitatively evaluating hydrothermal activity in marine shale. The method comprises the following steps: firstly, collecting a typical marine shale sample, and carrying out systematic experimental test analysis, including TOC determination and element content (ICP-MS, XRF) and mineral composition (XRD, FEM-EDS) analysis, to obtain geochemical and mineralogical data of the sample; thirdly, constructing a hydrothermal influence index (HII), and based on the influence of organic matter development on nonlinear enrichment of metal elements, introducing TOC data to perform dynamic threshold adjustment on HII to form an HIIc model; and the existence of hydrothermal activity is further verified by combining the rare earth element Eu abnormity. The method comprises the following steps: constructing a hydrothermal mineral combination index (HMI) through mineral phase equilibrium constraint, and establishing a hydrothermal contribution rate (HCR) model in combination with multivariate parameters; and finally, according to the HCR value and mineral development characteristics, performing quantitative evaluation on the activity intensity of the hydrothermal solution.

The invention provides an electric energy meter detection method and device, belongs to the technical field of electric energy metering equipment detection, and aims to solve the problems that the traditional meter detection process is tedious, the precision is not credible, the efficiency is low and a special online checking tool is lacked. The device comprises a test analysis host and an image acquisition module, the host comprises a three-channel voltage / current measurement module, an RS-485 communication module and the like, and a camera module has high-resolution acquisition and self-adaptive illumination functions; according to the method, after a device is deployed by a single person and parameters are set, a host synchronously collects standard electrical parameters and meter data (image recognition or RS-485 communication), an intelligent algorithm is used for comparison, errors are calculated, and an inspection report is automatically generated.

The invention relates to the technical field of track defect detection, in particular to a detection system for an electromagnetic track surface coating and a wear failure test analysis method. The system comprises a mobile device, a laser, a galvanometer, a temperature measurement module, an analysis module, a control module and the like, and the method comprises the steps of macroscopic inspection, parameter setting of laser defect inspection, laser defect inspection, data processing, failure form analysis and the like. The temperature measuring module measures temperature and transmits data, and the surface of the whole track is detected through laser spots and movement of the moving device. The method can solve the problem that an existing detection technology cannot rapidly and accurately detect the coating abrasion defect of the electromagnetic track, can effectively standardize the defect, failure and even accident analysis process of the coating of the electromagnetic track, and has the advantages of avoiding track failure caused by coating abrasion failure of the electromagnetic track, improving the reliability of the track and improving the reliability of the track. It is of great significance to ensure safe and stable operation.

The invention relates to the technical field of data screening, in particular to a tumor gene detection report auxiliary analysis system. The data acquisition module is used for acquiring medical record feature vectors and habit vectors of the medical record data; the feature analysis module is used for obtaining disease similar feature values by analyzing the difference relationship between the medical record feature vectors, establishing classification in combination with the consistency of the habit vectors, and calculating feature parameters of the historical medical record data in each category; the habit influence analysis module is used for analyzing the difference condition between the dimensions of the habit vector and the difference condition between the characteristic parameters of the medical record data, and constructing an influence curve of each dimension; and the medical record screening and auxiliary analysis module is used for combining the difference condition between the habit vectors of the to-be-detected medical record data and the historical medical record data, the influence curve and the disease similar characteristic value, and is used for screening adaptive medical records, and the adaptive medical records can more effectively carry out tumor gene detection auxiliary analysis on the to-be-detected medical record data at the moment.

The invention belongs to the field of clean coal separation, relates to a data analysis technology, and aims to solve the problem that raw coal in dense medium coal separation cannot be automatically matched with suspension density in the prior art, in particular to a suspension density intelligent matching and decision control system based on raw coal ash content. The decision control platform is in communication connection with a density test module, a density matching module, a weight analysis module and a storage module; before clean coal separation, the ash content of raw coal is obtained and marked as an original value, the initial density of suspension liquid of the raw coal subjected to dense medium coal separation is marked as a density value, the clean coal ash content and the coal separation duration in the dense medium coal separation process are marked as a fine separation value and a coal separation value correspondingly, and a test period is generated; and marking all dense medium coal preparation processes in the test period as test processes. According to the method, the suspension liquid density can be tested and analyzed in the clean coal separation process, and the corresponding initial suspension liquid density can be directly matched according to the category and ash content of raw coal.

The invention relates to the technical field of electromagnetic compatibility automatic testing, in particular to a power line audio conduction sensitivity automatic testing and switching system which comprises a multi-mode testing module, a data recording module, a testing analysis module, a testing control module and a result dividing module. Three test modes of high sensitivity, conventional sensitivity and low sensitivity are set, and a programmed switch group is utilized to automatically switch the connection relation between a capacitor and a coupling transformer, so that automatic configuration of different interference intensity test environments is realized. And the system automatically determines a subsequent test direction by analyzing conduction fluctuation characteristics of the transmission subsystem, and intelligently grades the anti-interference capability of the equipment based on a final test result. The problems that manual wiring is complex, efficiency is low and errors are prone to occurring in traditional testing are solved, automation and intellectualization of the testing process are achieved, testing efficiency and accuracy are remarkably improved, and meanwhile a reliable basis is provided for applicability evaluation of equipment in different electromagnetic environments.

A stress sensitivity analysis method for a fractured gas reservoir includes: S1, calculating a material balance quasi-time; S2, calculating a normalized production; S3, calculating a single well controlled reserve; S4, analyzing and judging a stress sensitivity. Based on the normalized quasi-pressure and quasi-time, the gas well test analysis is carried out, and the stress sensitivity of the actual reservoir is determined by taking the original bottom hole flowing pressure of the actual reservoir as the starting point, the obtained reservoir stress sensitivity is more in line with the actual situation of the reservoir, and the obtained reservoir stress sensitivity is more accurate, which provides more valuable values for reservoir protection, oilfield development, and development planning.

The invention relates to an interactive intelligent test analysis system based on a natural language. The system comprises a natural language processing and dialogue management module used for receiving and presenting natural language information, analyzing user input, identifying operation intention and extracting key parameters, an intelligent parameter recommendation and execution module used for connecting and controlling the physical test instrument according to a language understanding result, and an intelligent parameter recommendation and execution module used for importing from the instrument or a file, the working area and management module is used for storing and managing test data; the data processing and analysis engine module is used for automatically selecting and executing a data analysis algorithm according to user intention and context; the natural language processing and dialogue management module analyzes and generates a structured intention based on a pre-trained large language model and a domain knowledge base; and the intelligent parameter recommendation and execution module automatically recommends and sets optimal instrument parameters according to the structured intention based on a pre-trained large language model and a domain knowledge base. According to the invention, complex signal processing is simplified into natural dialogue interaction with experts.

The invention discloses an automatic test analysis method and system for an intelligent cockpit large model, and relates to the technical field of test analysis, when a thread pool adjustment mechanism is triggered, resource data of a thread pool in a test process of a test case is obtained, and the state uncertainty of the thread pool is calculated; obtaining all test task relationship dependency data corresponding to the test case to calculate a task dependency degree; according to the state uncertainty of the thread pool and the task dependency degree, calculating a non-regulation degree; and judging whether to adjust the thread pool according to the non-regulation degree to adjust the state of the thread pool in the automatic test of the intelligent cockpit large model. According to actual judgment, in the automatic testing process of the intelligent cockpit large model, when a thread pool adjusting mechanism is triggered, whether the state of the thread pool needs to be adjusted truly or not can be judged, unnecessary frequent adjustment is avoided, the phenomena of waste of system resources and reduction of execution efficiency are reduced, the stability of the system is ensured, testing tasks are scheduled in order, and the testing efficiency is improved. The stability of the test process is ensured.

The method and device for mapping the local irradiation flux of laser target shooting based on phase plate positioning belong to the field of laser target shooting experiments. The present invention aims to solve the problem that the flux data in the existing optical element damage test analysis only uses the average flux as the result, and cannot achieve the correspondence between the target surface beam flux and the damage point. The present invention includes a calibration step for obtaining an affine transformation matrix and a step for performing a laser target shooting experiment to obtain the local irradiation flux of the target material. A phase plate is inserted between the lens and the target material in the target shooting experiment optical path, an array of damage points is formed on the rear surface of the target material, and an affine transformation matrix is ​​constructed. The phase plate is removed and the laser target shooting experiment is performed using the original experimental optical path; the near-field image of the target shooting laser beam is mapped to the target material damage image according to the affine transformation matrix, and the near-field image of the target shooting laser beam and the target material damage image are superimposed to obtain the position of the phase mark point corresponding to the target material damage point; and then the local irradiation flux of the laser target shooting at the location of each damage point on the target material is obtained.

The invention discloses multi-parameter test analysis equipment for a complex environment, which belongs to the technical field of chemical or physical test analysis and comprises a test cabin, a comprehensive measurement and control system, a vacuum pumping system, a field environment simulation system and a climate temperature and humidity simulation system. The vacuum pumping system, the field environment simulation system and the climate temperature and humidity simulation system are sequentially arranged on the outer side of the test cabin body and are communicated with the test cabin body. By changing and adjusting the air pressure, the temperature, the humidity, the wind, the ultraviolet radiation, the space range and the air density in the specified range in the test cabin body, the extreme climate environment of any single parameter can be simulated, the special environment of combination, alternation and intersection of multiple parameters can also be simulated, and different types of test pieces can be made to have different functions. Test detection operation under a traditional atmospheric state, atrocious weather and an extreme environment of an outdoor environment is completed in the same space, so that multi-parameter data of different types of test pieces can be obtained.

The invention belongs to the technical field of rail traffic signals, particularly relates to a rail circuit interference test analysis method, system and equipment, and aims to solve the problems that a mixed interference source is difficult to accurately position, accidental faults cannot be captured and diagnosis is subjective. The method comprises the following steps: performing multi-channel synchronous acquisition and real-time storage on a voltage signal and a current signal of a track circuit; processing the original signal in real time, analyzing different frequency components through high-resolution spectrum analysis, and comparing with a preset threshold in combination with time domain analysis to trigger an alarm and generate a real-time analysis report; and performing intelligent analysis on historical data, performing verification and feature recognition on fault period data by establishing a probability model of a normal working condition, and generating a diagnosis analysis report. According to the method, the interference source can be accurately separated and positioned, the transient fault is automatically captured, objective and intelligent fault diagnosis is provided, and the efficiency and reliability of track circuit troubleshooting are remarkably improved.