1545 results about "Test point" patented technology

The invention provides a thermal power plant boiler combustion visual monitoring and early warning method and system, a storage medium and electronic equipment. According to the method, obtained multi-measuring-point temperature data are input into a pre-constructed temperature field reconstruction model, the model comprehensively considers the geometric structure and combustion thermodynamic characteristic factors of a hearth, model parameters are dynamically adjusted through a particle swarm optimization algorithm, the temperature field reconstruction precision is continuously improved, and a three-dimensional real-time temperature distribution diagram of the hearth is generated; fusing and presenting the diagnosed combustion abnormal information and the visual image of the hearth temperature field, generating a visual in-furnace combustion state monitoring interface, and meanwhile, pushing the abnormal information to a mobile terminal to realize remote monitoring and early warning; the combustion state data in the long-period operation process of the boiler are mined and analyzed, typical combustion modes are extracted, a combustion mode library is continuously enriched and optimized, an online learning algorithm is used for adaptively updating a combustion abnormity diagnosis model, and the intelligent level of combustion state sensing and abnormity early warning is continuously improved.

The invention relates to the technical field of circuit boards, and discloses a circuit board interlayer connection detection method, device and equipment, and the method comprises the steps: carrying out the electrical characteristic parameter measurement of a multilayer flexible circuit board, and obtaining the characteristic parameter data of the circuit board; designing and arranging a multi-test-point detection structure on the multi-layer flexible circuit board, and performing signal excitation to obtain test point position information; applying a differential excitation signal, and collecting a differential response waveform between the test points to obtain a time domain reflection signal feature; impedance spectrum conversion and parameter extraction are carried out on the time domain reflection signal features, and an interlayer connection impedance distribution diagram is obtained; and establishing an interlayer connection defect characteristic model aiming at nickel-based alloy wire fracture, interface cracking and liquid metal fiber felt delamination in various bending states by utilizing the interlayer connection impedance distribution diagram, so that accurate classification of defect types and severity is realized, and interlayer connection faults and surface welding quality problems can be distinguished; and the misjudgment rate is greatly reduced.

The invention discloses a wafer calibration method and device based on machine vision, equipment and a medium. The method comprises the following steps: determining a tray rotation center position according to a tray image obtained by motor rotation; wherein a reference circle scale line of which the radius is greater than that of a target wafer is engraved on the tray; placing a target wafer in the reference circle scale line on the tray, and performing image acquisition on the tray to obtain a target image; determining the circle center position of the wafer according to the distance between the reference circle scale line and the target wafer based on the target image; based on the target image, determining a wafer deviation angle according to the reference circle scale line, the wafer center position and the wafer gap identification information; and according to the rotation center position of the tray, the circle center position of the wafer and the deviation angle of the wafer, carrying out position calibration on the test point on the target wafer. According to the invention, the wafer calibration efficiency is improved, and the operation of repeatedly taking the wafer from the wafer carrier to the wafer calibrator and then to the process position during wafer calibration is avoided.

The invention relates to an aging test method and device and a medium, and relates to the technical field of aging tests.The method comprises the steps that based on a distributed data acquisition system architecture, performance parameters of a to-be-tested product are synchronously acquired at a plurality of test points, data acquired at all the test points are synchronously integrated through timestamp alignment, and integrated data are obtained; based on a preset data analysis model, performing time sequence analysis on the continuously collected performance parameters, fitting a performance degradation curve by using a regression analysis method, determining a degradation function, and predicting the performance failure time of the to-be-tested product according to the degradation function; and determining a plurality of accelerated aging test schemes based on the performance failure time and a combination of a plurality of environmental factors, and executing all the accelerated aging test schemes through a simulator to obtain a plurality of life prediction results. The effect of improving the accuracy of performance evaluation and life prediction of the electronic product is achieved.

The invention discloses a dynamic on-resistance test circuit based on a gallium nitride transistor and a test method thereof. Belongs to the technical field of power electronics. The circuit comprises a DPT test circuit, a switch state switching circuit and a clamping circuit, the test method comprises the following steps: monitoring the voltage between test points on the clamping circuit and the current on the coaxial resistor to obtain the on resistance of the to-be-tested tube; the switching between the hard switching test and the soft switching test is realized by changing the switch interface. According to the invention, a gallium nitride transistor and a clamping circuit are introduced into a traditional double-pulse test circuit, and a dynamic on-resistance test function in a soft switching mode and a hard switching mode is integrated. Compared with a traditional testing circuit, the clamping circuit can capture the dynamic on-resistance within nanosecond time delay, meanwhile, the peak of the clamping voltage is greatly reduced, the testing precision is improved, and rapid and accurate measurement of the dynamic on-resistance is achieved.

The invention provides a titanium plate performance analysis method and system, and relates to the technical field of metal material detection.The method comprises the steps that an optical scanner is adopted to establish a three-dimensional structure on the surface of a titanium plate, and test areas are divided; synchronously acquiring stress, hardness and conductivity data of a test point by using a multi-probe collaborative detection device; constructing a dual-branch feature extraction network, wherein the dual-branch feature extraction network comprises a surface topography feature branch and a physical feature branch; performing statistical integration on the features in the test area, calculating distribution features and determining a weight coefficient; and generating a performance analysis result through feature fusion and a multi-task output layer, and finally determining the performance grade of the titanium plate. According to the method, deep fusion of morphology information and physical characteristics is realized, and the accuracy and reliability of titanium plate performance evaluation are improved.

The invention discloses an agent-based test case generation method and device, equipment and a medium, and relates to the technical field of software testing, the method comprises the following steps: in response to a test case generation instruction for a target function, displaying a test case framework of the target function; in response to an interaction instruction for a preset position in the test case framework, obtaining a target test code of the target function; wherein the interaction instruction is used for triggering interaction between a first agent and a second agent, and the first agent is configured to be used for analyzing a logic structure of a function code of a target function to obtain a structure code of a test point of the target function; the second intelligent agent is configured to be used for generating a target test code based on the structure code of the test point; and displaying the target test code at a preset position to obtain a target test case of the target function. The problem that the generation accuracy of the test case is low can be solved.

The invention provides a test case generation method and device based on a large model, and the method comprises the steps: obtaining a test document which comprises at least one of a software demand document and a software design document; processing the test document, and determining at least one test point; determining reference test cases corresponding to the test points from a test case library; respectively filling the test document, each test point and the corresponding reference test case into corresponding positions in a cue word template to generate a target cue word corresponding to each test point; and inputting each target cue word into a first large model to obtain a test case corresponding to each test point. Therefore, the test case corresponding to each test point is generated through the large model based on the test points, the reference test cases corresponding to the test points and the test document, and the efficiency and accuracy of generating the test cases are improved.

The invention belongs to the field of turbine tests, and discloses a flow field reconstruction method based on test measuring point position optimization and multi-source data fusion and a related device, and the method comprises the steps: building a CFD data set and a sparse measuring point test data set; carrying out POD decomposition on the CFD data set; according to the sparse measurement point test data set, a correction modal coefficient is obtained by using a Gappy POD algorithm; according to the POD mode and the correction mode coefficient, obtaining a Gappy POD reconstruction flow field parameter; taking the minimum error of the global low-fidelity flow field parameter and the Gappy POD reconstruction flow field parameter as a target to obtain an optimal measurement point position; based on the optimal measurement point position, high-fidelity discrete test data is obtained, and an optimized modal coefficient is obtained by using a Gappy POD algorithm; obtaining a flow field reconstruction result of the turbine blade according to the POD mode and the optimization mode coefficient; according to the method, fine reconstruction of the global flow field distribution of the turbine blade is realized.

The invention relates to the technical field of electrical fault detection, in particular to a voltage-sensitive device damage diagnosis system combined with pulse test, which comprises the following modules: an original signal acquisition module for inputting pulse sequences to a voltage-sensitive device, respectively recording voltage response signals and current response signals under each pulse sequence, and generating a response signal set; and performing wavelet decomposition on the voltage response signal and the current response signal based on the response signal set. According to the method, the pulse sequences are input, and the voltage response signals and the current response signals under the pulse sequences are recorded, so that data acquisition covers different working states, and feature missing possibly caused by a single test point is reduced. A wavelet decomposition mode is adopted, a voltage response signal and a current response signal are divided into different frequency intervals, separation of high-frequency and low-frequency characteristics is facilitated, local abnormal signals are not covered by global characteristics, and the capability of analyzing short-time fault characteristics is enhanced.

The utility model relates to the technical field of building design, and discloses an accurate data resiliometer which comprises a vertical sleeve, a plurality of through grooves arranged circumferentially are formed in the bottom of the vertical sleeve, the inner top wall of each through groove is fixedly connected with the same gas ring, and the outer surface of each gas ring fixedly communicates with a plurality of gas nozzles arranged circumferentially. According to the accurate data rebound apparatus, through the arranged vertical sleeve, the purpose of limiting movement of the rebound apparatus body can be achieved, the effect that the rebound apparatus body is in a vertical state when making contact with an external concrete plate is achieved, the measurement accuracy can be improved, and the rebound apparatus can be accurately measured by pulling a cross-shaped ring to move upwards before measurement. Then the cross ring is reset under the action of the spring, external gas can be sucked and sprayed out through the gas nozzle, the effect of removing particles possibly existing at a test point in advance is achieved, meanwhile, the vertical sleeve can shield and prevent dust from floating upwards, and the measurement accuracy is further improved.

The invention discloses an electromagnetic interference positioning method, device and equipment and a storage medium, and relates to the technical field of vehicle electromagnetic interference testing, and the electromagnetic interference positioning method comprises the following steps: obtaining a preset test point according to a preset scanning area; controlling the mechanical arm to drive the antenna to perform detection according to the preset test point location to obtain a radiation interference surface; obtaining an interference curve according to the radiation interference surface, and determining a first interference source position according to the interference curve; updating the preset scanning area according to a preset scanning distance to obtain a target scanning area, and obtaining a second interference source position according to the target scanning area; and determining an interference source position set according to the first interference source position and the second interference source position, and completing electromagnetic interference positioning. The mechanical arm and the antenna are controlled to carry out electromagnetic interference testing to obtain an interference surface and an interference curve, so that the positions of a plurality of interference sources are accurately positioned, and efficient and accurate electromagnetic interference source positioning is realized.

The invention discloses a test case generation method and system for security and futures software. The method comprises the following steps: converting data in an original file into an embedded vector through an information analysis agent, and storing the embedded vector in a vector database; generating an initial test case set by using the plurality of test points and the data fragments corresponding to each test point through a case generation agent; constructing a business rule atlas to perform rule similarity scoring on each test case, deleting the test cases with low scores, and forming a high-score test case set by the test cases with high scores; semantic similarity scoring is carried out according to the historical test cases, sorting is carried out according to scores from high to low to form an optimal test case set, and the test case with the highest score is marked as the historical test case to be stored in the vector database. According to the method, the test cases of the security futures software can be automatically generated, redundant cases are reduced by evaluating the test cases, the case quality is improved, the workload of testers is greatly reduced, and the test efficiency is greatly improved.

The invention provides an offshore wind farm electromagnetic environment influence assessment method, and particularly relates to the field of electromagnetic environment influence analysis, and the method comprises the steps: firstly determining a wind farm center point, setting radiation test points in a preset radius, and obtaining electromagnetic environment test data of each test point through an electromagnetic environment test system; according to the method, electromagnetic interference signals overflowing from a wind power plant in electromagnetic environment test data are sorted out, a maritime electromagnetic wave propagation loss model is utilized to perform deduction calculation, the signal receiving strength of the position where existing equipment is located is obtained, and whether the electromagnetic interference signals have interference influence on the existing equipment or not is comprehensively evaluated by combining the technical standard requirements of the existing equipment. And the electromagnetic environment safety of the offshore wind plant is ensured. According to the method, the technical problem that the electromagnetic environment generated in the operation process of the wind power plant and the influence of the electromagnetic environment on peripheral radio frequency equipment are difficult to effectively test and analyze in the special environment of the offshore wind power plant is solved, so that the position and layout of the offshore wind power plant are reasonably planned according to the evaluation result.

The invention belongs to the technical field of PCB flying probe detection equipment, and particularly relates to a flying probe compensation method and system based on PCB curved surface modeling, and the method comprises the steps: obtaining the size of a PCB, and carrying out the equilateral triangle grid division; in the visual alignment process, the laser distance measuring sensor is synchronously driven to carry out rapid non-contact height measurement on the vertex of the grid; based on the vertex three-dimensional coordinates, fitting triangular patches through a space plane equation and splicing the triangular patches into a three-dimensional curved surface model; performing bilinear interpolation on an area formed by adjacent patches in the model to smooth a curved surface; and finally, selecting an interpolation function according to the position of the test point to calculate the accurate height, and generating a Z-axis displacement compensation value of the probe. According to the high-precision measurement and self-adaptive compensation of the PCB warpage, the efficiency and precision of the flying probe test are considered, and the problem of poor contact or overvoltage damage of the probe caused by the board warpage is effectively solved.

The invention provides a circuit board test method and device based on a flying probe tester. According to the method, a test point set is determined by obtaining a design file of a circuit board, establishing an electrical connection model and identifying components and pins on the circuit board. And generating test combination set data by analyzing the conduction relationship between the test points, and further generating test scheme data. And based on the test scheme data, a test path is generated by using a path optimization algorithm, finally, the flying probe tester is used for testing, and a test report is generated according to a test result. The flying probe tester adopts the combination of an annular probe and a sharp needle probe, the annular probe is used for a pin connector to ensure accurate contact, and the sharp needle probe is used for other types of components to improve the test precision and adaptability. Compared with a traditional test method, the test scheme can be generated more efficiently, the test path can be optimized more efficiently, the test time is remarkably shortened, and the reliability and accuracy of circuit board testing are improved.

The invention provides a dynamic test system for a driving circuit of a motor driver. The dynamic test system comprises a control module, a driving module, a power supply module, a test tool and a data processing platform, the control module is used for controlling on and off of the tested power device and on and off of various relays, and receiving parameters and instructions sent by the data processing platform; the driving module is used for realizing various topologies and driving circuit forms of the inverter circuit; the power supply module outputs a driving voltage for the driving module and a power supply voltage for the control module; different driving voltages are used for driving signals of different power devices; the test tool comprises a heating tool, various voltage and current test devices and a structural member for fixing the devices at test points of the driving module; and the data processing platform is used for classifying voltage and current waveforms and identifying key data. According to the invention, the efficiency, the accuracy and the intelligent degree of the double-pulse test can be improved.

The invention relates to a railway vehicle system structure modal test measuring point optimization method and a medium, and the method comprises the following steps: constructing a modal matrix of a railway vehicle system structure, extracting candidate measuring points of modal test, and forming a candidate measuring point set, the sensor comprises a three-way sensor and a one-way sensor; if a three-way sensor is selected to perform modal testing, calculating measurement values of candidate measurement points in the candidate measurement point set by adopting a multi-dimensional effective independent method based on the modal matrix, and determining final measurement points of the modal testing according to the measurement values; and if the unidirectional sensor is selected for modal testing, constructing an auxiliary matrix based on the modal matrix and the candidate test point set, and determining a final test point of the modal testing according to the auxiliary matrix. Compared with the prior art, the method has the advantages of optimizing measurement point distribution, improving the accuracy of a modal identification result and the like.

The invention provides a reducer box sealing performance test method and system based on an intelligent sensor, and relates to the technical field of sealing detection, and the method comprises the steps: collecting each sealing test point; generating a primary sealing test result; building a primary sealing test platform based on the intelligent sensor, generating a primary sealing test result, carrying out factory verification based on the primary sealing test result, and calling the box simulation model and the secondary leakage variable after leaving a factory to generate a secondary leakage model; secondary leakage fitness monitoring is performed, including instantaneous fitness monitoring and cumulative fitness monitoring. The technical problem that in the prior art, due to the fact that the sealing state change of the speed reducer under the actual working condition is difficult to reflect, sealing detection is inaccurate can be solved, and intelligent detection and evolution monitoring of the sealing performance of the speed reducer in the whole process from factory leaving to service are achieved through the intelligent sensor. The technical effects of improving the sealing reliability and preventing leakage faults are achieved.

The invention relates to the technical field of artificial intelligence, and discloses an efficient software testing method and system based on artificial intelligence. Generating test points one by one according to code segments of code data in the demand code data set, and generating a test path according to the test points; generating a test case of the code data according to the code features and the test path, calculating a test distance between the test case and a historical test case, and generating a test scheduling sequence according to the test distance; performing synchronous testing on the demand code data set according to the test scheduling case, and extracting defect code data in the demand code data set through a test defect report in the test result set; and generating a test update case of the defect code data according to the test case, generating a test update report of the defect code data through the test update case, and generating a test report of the target software according to the test result set and the test update report. According to the invention, the software testing efficiency can be improved.

The invention provides an optical fiber sensor battery monomer integration method, an optical fiber sensor battery system and a vehicle, and the method comprises the steps: carrying out the simulation of the charging and discharging process of a battery, screening out a plurality of target test point positions from the test point positions of target battery parameters of the battery based on a simulation result, the target battery parameter is air pressure, temperature, stress or gas; determining a blank area for placing an optical fiber sensor in the battery according to each target test point, and providing a placement space for the optical fiber sensor at the blank area by using a battery monomer electrode blank process; and placing the optical fiber sensor in the placement space, and fixing the optical fiber sensor and the battery to obtain an optical fiber sensor battery monomer. By adopting the scheme, the hierarchical perception of the single battery is realized, the detection dimension is expanded, and the acquisition of internal characteristics of the battery is increased, so that the accuracy and reliability of state estimation and fault diagnosis of the lithium ion battery are improved.

The invention provides a 3D structure core particle test layout design method supporting cross-layer cascade test and single core particle self-test, and the method comprises the following steps: a, designing the test point layout of 3D stacked core particles, each layer of core particles adopting a hexagonal arrangement mode, and enabling a test PIN in one layer to be connected with six signal PINs in the same layer; and meanwhile, a vertical test channel is arranged, so that the in-layer test PIN of each layer is connected with the corresponding test PIN of the adjacent layer through a vertical interconnection structure. According to the invention, full test coverage of 3D stacking is adapted, the problem that interlayer signals are difficult to test in a 3D structure is solved through the in-layer hexagonal layout and the vertical test channel, and full-scene coverage of in-layer, interlayer and cross-core particle signals is realized.

The invention relates to the technical field of circuit board detection, and provides a circuit board damage detection optimization method and system, and the method comprises the following steps: S1, synchronously collecting a contact resistance signal, a probe pressure signal and environment data of a circuit board test point through a probe array, and carrying out the optimization processing of the collected data parameters; s2, establishing a contact impedance dynamic model, depicting the dynamic change of the contact impedance of the circuit board, extracting a characteristic signal for analysis, and mining the mode characteristics of an abnormal signal; and S3, fusing the abnormal multi-source evidences of the circuit board, processing the uncertainty and relevance among the evidences, and reversely deducing the positions and reasons of the potential defects on the circuit board. Through a multi-dimensional verification and error self-correction mechanism, the error between a defect solution and a real defect is quantified and reversely deduced by using posterior error estimation, so that the reliability and consistency of a detection result are improved, a reliable result support is provided for engineering application of circuit board damage detection, and meanwhile, the dependence on detection experience of detection personnel is avoided.

The utility model discloses an assembling structure of a concrete resiliometer, which belongs to the technical field of concrete strength testing and comprises a base, universal wheels are fixedly assembled at four corners of the bottom of the base, a lifting mechanism is fixedly assembled at the top of the base, and an assembling frame is fixedly assembled at the top of the lifting mechanism. Through a semi-automatic testing method, the operation process of the concrete resiliometer can be standardized and simplified, and only the base needs to be controlled to move in a short distance in the testing process; and then the lifting mechanism is controlled to drive the assembling frame to adjust the height position, so that the rebound instrument can be aligned to the corresponding testing point position in the testing area, the overall strength of manual operation is reduced, and the situation that the reading is inaccurate due to the fact that manual fatigue operation is conducted on too many testing point positions is avoided.

The invention discloses a hardware-in-the-loop test method and device and electronic equipment, relates to the technical field of automotive electronics, and adopts a simulated annealing algorithm in an optimization stage, adjusts parameters according to characteristics of an electronic stability control system, optimizes data distribution, and improves test data quality and fault detection capability. In the verification stage, the generated test data is subjected to actual operation test, the data problem is fed back by comparing actual output with an expected result, and the optimized test data which does not pass verification is sent to the target hardware-in-loop test model for optimization adjustment, so that a closed-loop optimization verification process is formed. The iterative closed-loop process comprehensively covers all possible working conditions and fault modes, key test points are prevented from being omitted, the reliability of the electronic stability control system is enhanced, the accuracy, effectiveness, comprehensiveness and sufficiency of hardware-in-the-loop test of the electronic stability control system are ensured, and the reliability of the electronic stability control system is improved. And the limitation of hardware-in-the-loop test of the electronic stability control system is reduced.

The invention belongs to the technical field of PCB (printed circuit board) detection equipment, and particularly relates to a dynamic adjustment system and method for uniform distribution of test points of a flying probe machine, and the system comprises a flying probe test machine, a camera alignment system, a data processing unit and a movement mechanism. The flying probe testing machine is provided with at least two guide rails, and flying probes are arranged on the guide rails and used for testing test points on the PCB. And the camera alignment system carries out at least two times of alignment with the PCB, and outputs alignment information. And the data processing unit receives the alignment information, loads PCB data, and determines the offset of the PCB according to the distribution of the test points and the alignment information. And the movement mechanism is connected with the PCB and responds to the offset to control the PCB to translate, so that the test points are uniformly distributed on the flying probe test machine. According to the invention, by dynamically adjusting the position of the PCB, the test efficiency of the flying probe tester is improved, the distribution uniformity of test points is ensured, and the test flow of the PCB is optimized.

The embodiment of the invention discloses a test case generation method and device and electronic equipment. In the method, under the condition that object information of a test object is obtained, a first cue word can be obtained through the object information and a first network model, then after a first test point is determined according to the first cue word, a second cue word is obtained through a historical test case corresponding to the first test point and the first cue word, and then the second cue word is sent to the test object. And obtaining the target test case through the second prompt word and the second network model. Therefore, under the condition that the first cue word is obtained through the object information, the first test point can be further determined through the first cue word, so that the first cue word can be updated based on the historical test case corresponding to the first test point to obtain a more accurate second cue word, and the user experience is improved. The target test case obtained through the second cue word and the second network model is more accurate, so that the quality of the test case is improved.

The invention discloses a fault analysis method for ship health state management, and belongs to the technical field of fault analysis in the field of ship fault prediction and health state management, and the method comprises the steps: analyzing fault mode influence and harmfulness FMECA; according to the fault influence of the FMECA, various symptom expressions caused by the fault reason are determined so as to determine the evolution characteristics of each fault mode; determining a sensor or a test point required for monitoring according to the fault symptom, and determining the position of the test point or the position of the sensor; performing fault diagnosis and prediction according to the selected test points or sensors and corresponding positions in combination with monitored signal parameters; and selecting preventive maintenance work or combination according to the fault reason and the fault symptom, and determining a maintenance interval period. Analysis can be actually carried out according to the health state management requirements of the equipment, analysis is carried out according to fault symptoms and fault characteristics, and meanwhile preventive maintenance measures are put forward to eliminate or reduce the potential fault occurrence opportunities.

The invention belongs to the technical field of road engineering roadbed nondestructive testing, discloses a roadbed humidity nondestructive testing method based on wireless radio frequency signal multi-parameter inversion, and aims to solve the problems that a traditional roadbed humidity testing method is destructive, low in efficiency and discontinuous in monitoring or detection parameters are easily interfered. The method specifically comprises the following steps of: firstly, embedding an RFID tag and acquiring an on-site received signal strength indication value; then establishing a relation model of the received signal strength indication value and the roadbed moisture content, and extracting characteristic parameters only influenced by the moisture content; then, constructing a neural network model, taking the extracted characteristic parameters as input, and utilizing field data to train the model to invert the roadbed moisture content; and finally, the spatial distribution of the moisture content of the roadbed is obtained by combining the distribution of the test points and the roadbed structure information, so that the efficient, non-contact and continuous monitoring of the humidity state of the roadbed is realized.

One or more computer processors identify one or more similar, historical regression tests and historical builds utilizing a computed similarity measure between a regressed build and one or more historical builds conducted on a same release cycle, wherein the identified one or more similar historical regression tests and historical builds are K closest neighbors to the regressed build; predict an elapsed time of the one or more profiled regression tests utilizing a KNN algorithm comprising the K closest neighbors each weighted by a corresponding average distance from a test point and the elapsed time as a target variable; responsive to the predicted elapsed time exceeding an actual elapsed time associated with the regressed build, determine that the regressed build is an actual regression; responsive to determining that the regressed build is not due to variability, apply one or more mitigation actions to the regressed build.