26results about How to "Reduce testing" patented technology

The invention provides a method and equipment for detecting ion migration of a perovskite solar cell, and relates to the technical field of perovskite solar cells, and the method comprises the steps: obtaining a fluorine-doped tin oxide coating glass substrate, and carrying out the spin coating of a SnO2 colloidal solution on the glass substrate, so as to obtain an electron transport layer; preparing perovskite solutions of different components according to a preset precursor solution formula, spin-coating the electron transport layer with the perovskite solutions, and performing annealing treatment to obtain perovskite thin films of different components; coating a Spiro-OMeTAD solution on the perovskite thin film so as to obtain a hole transport layer; depositing a gold electrode on the hole transport layer to obtain a solar cell device; different illumination conditions and different working load conditions are simulated, the solar cell device is operated, and the relation between the interface ion cumulant and the load is evaluated. The problems of unstable performance, current and voltage lagging and the like caused by ion migration of the existing titanium ore solar cell under the actual working condition are solved.

The invention discloses a transfer case vibration simulation analysis optimization method and device, and the method comprises the steps: building a transfer case finite element model, simulating each bearing of a transfer case shaft gear, and obtaining a bearing dynamic load; acquiring the inherent frequency and the inherent vibration mode of the first ten orders of the transfer case shell, inputting variable parameters into the finite element model of the shell, and performing simulation solution analysis on the frequency response of the box body through a modal superposition method; establishing parameter sample data points and level numbers on the basis of variable parameters, generating an orthogonal test table, and respectively performing an independent simulation test on each parameter group to obtain an average torque and a vibration acceleration level corresponding to each parameter group; the variable parameters serve as target parameters, a neural network prediction model is established to optimize the multi-target parameters, and an optimal solution set with the maximum average torque and the minimum vibration acceleration level is obtained through iterative operation; optimization is carried out through simulation analysis so as to reduce or avoid vibration, data support is provided for rack construction of a transfer case high-speed verification test, test problems are reduced, and test working efficiency is improved.

The invention discloses a multi-crane cooperative hoisting operation planning system and method.The system comprises a model library module, a follow-up strategy module, a safety module, an instruction compiling module and a scheme simulation module, environment scene and building setting is conducted in the model library module, main and auxiliary crane models are selected, and corresponding working conditions and hoisting objects are set; selecting a collaborative operation follow-up strategy in the follow-up strategy module; in the action simulation process, the auxiliary crane is automatically driven to perform corresponding actions according to the selected follow-up strategy; and the instruction compiling module selects to store action instructions of the main crane and the auxiliary crane until the whole operation is completed, and then hoisting instruction extraction and instruction optimization are performed. And finally, the whole hoisting process is reproduced in a scheme simulation module, and a hoisting scheme is confirmed, so that the whole multi-machine collaborative hoisting operation planning is completed. According to the invention, simulation and prediction of each link of the hoisting operation can be realized, and the safety and the operation efficiency of the hoisting operation are effectively improved.

The invention discloses a three-dimensional cobalt-platinum microstructure preparation method based on a graph neural network, and belongs to the technical field of cobalt-platinum microstructure preparation, and the method comprises the steps: collecting cobalt-platinum deposition parameters in the preparation of a three-dimensional cobalt-platinum microstructure, constructing a data set, and carrying out the data preprocessing; establishing a graph causal network in combination with a graph neural network, graph attention and a Granger causal mechanism; and the preprocessed cobalt-platinum deposition parameters are input into the graph causal network to be processed, the atomic proportion of the three-dimensional cobalt-platinum microstructure is inferred, the optimal cobalt-platinum deposition parameters are recognized, and preparation of the three-dimensional cobalt-platinum microstructure is completed based on the optimal cobalt-platinum deposition parameters. According to the method, the atomic proportion of the three-dimensional cobalt-platinum microstructure is deduced through a method of combining a graph neural network, graph attention and causal inference, and the optimal cobalt-platinum deposition parameters are identified; therefore, control over deposition conditions is enhanced conveniently, the efficiency and precision of the preparation process of the cobalt-platinum microstructure are improved, the number of trial and error times in a traditional experiment is reduced, and the material performance is improved.

The invention provides a camera parameter calibration method and device and control equipment. The method comprises the steps that multiple initial expected poses of a mechanical arm are determined based on initial camera parameters of a camera; aiming at each initial expected pose, controlling the mechanical arm to move the calibration plate based on the initial expected pose, and collecting a first calibration image aiming at the calibration plate through the camera; determining candidate camera parameters of the camera based on the first calibration images corresponding to the plurality of initial expected poses; determining a plurality of target expected poses of the mechanical arm based on the candidate camera parameters; wherein the multiple target expected poses are used for determining target camera parameters and calibrating the target camera parameters. According to the technical scheme, automatic calibration of the camera parameters can be realized.

The present invention belongs to the technical field of circuit board testing and analysis, and specifically discloses a flexible printed circuit board LED testing and analysis system based on artificial intelligence, the system comprising: a test layout module, a test scene layout module, a single brightness test module, a brightness performance test analysis module, an external force mixed test module, an external force mixed test analysis module, an environmental mixed test module, an environmental mixed test analysis module, a performance analysis report generation module and a database; the present invention collects data in the test process by using a camera, thereby reducing the amount of data processing while ensuring the validity of the test results, and at the same time, by setting an external force mixed test scene and an environmental mixed test scene, solves the current deficiency of only performing test analysis through a single test scene, realizes a comprehensive analysis of external force bearing and environmental bearing, and can objectively evaluate the comprehensive performance of the flexible printed circuit board.

The invention discloses a chip testing method and device applied to building energy consumption, and the method comprises the steps: firstly judging the module type of a to-be-tested chip, and then testing the chip through an intelligent testing unit; when the simulation module is tested, the intelligent drive control sub-element generates a simulation drive signal, and the simulation module processes the simulation drive signal to obtain a simulation test signal; the intelligent comparison sub-element compares the two components to judge whether the simulation module fails or not; when the ADC module is tested, the intelligent drive control sub-element generates a voltage test signal, the voltage drive unit converts the test voltage into a test voltage, the ADC module processes the test voltage to obtain a voltage digital signal, and the intelligent comparison sub-element compares the test voltage and the voltage digital signal to judge whether the ADC module breaks down or not. According to the invention, whether the function of the module is normal is tested through the driving signal of the intelligent test unit, and the use of special ATE machine equipment for testing is reduced, so that the chip manufacturing and testing cost can be reduced.

The invention provides an aluminum alloy conductor material heat treatment process selection method, which utilizes differential scanning calorimetry (DSC) to obtain the phase transition temperature of an aluminum alloy so as to confirm the solid solution and aging temperature in the aluminum alloy heat treatment process, and selects the solid solution time through the conductivity performance of the aluminum alloy after solid solution. The proper aging time is selected according to the tensile strength, the conductivity and other properties of the aluminum alloy, and finally the proper heat treatment process of the aluminum alloy material is obtained. The heat treatment process selection method combines theory and reality, and is higher in feasibility; different from the previous method for confirming the material heat treatment process through conjecture and hypothesis and a large number of test verification, the method can obtain the clear aluminum alloy heat treatment temperature through the aluminum alloy phase transition temperature, then the heat treatment time is clear through test verification and performance requirements, a large number of test verification time is shortened, and the research and development efficiency is improved; and as the tests of the aluminum alloy heat treatment process for verification are reduced, the labor cost and financial resource consumption are saved.

The invention belongs to the field of intelligent detection and feature quantification, and provides an automatic fault detection method and system for an intelligent electric kettle, and the method specifically comprises the steps: recognizing execution points from the intelligent electric kettle, enabling each execution point to form an execution current sequence, carrying out the Fourier transform feature extraction from the execution current sequence, and forming an execution feature group; and then calculating an abnormal pointing scalar by executing the feature group, and finally performing fault judgment according to the abnormal pointing scalar. The current signal data of the intelligent electric kettle in the working process are collected and analyzed in real time, under the condition that the intelligent electric kettle has multiple functions, the tedious setting process of monitoring and modulating regulation and control components of the intelligent electric kettle is avoided, the function program where a fault occurs can be automatically positioned, and the working efficiency of the intelligent electric kettle is improved. Therefore, the error code is displayed to realize fault judgment, fault error judgment caused by an asynchronous state among a plurality of monitoring means is avoided, and the specific function fault identification accuracy of the intelligent electric kettle is greatly improved.

A method for predicting an amount of coating layer falling off from a positive electrode material having a coating layer, comprising: (1) making a button battery using a positive electrode material, a negative electrode material, a diaphragm and electrolytic solution; (2) obtaining a fully-charged battery by having the button battery go through a charging / discharging cycle; (3) disassembling the fully-charged battery and removing delithiated positive electrode material from the positive electrode sheet; and (4) completely immersing the delithiated positive electrode material in an organic solvent, filtering the delithiated positive electrode material to obtain a filtrate and a filtration residue, and determining the content of a coating element in the filtrate.

The present application relates to a design method of the vibration isolation parameters of a shield pump of a high-speed train traction converter cooling system, and belongs to the field of rail vehicle vibration isolation. The present application builds a simulation model for optimizing the vibration isolation stiffness and damping parameters of the shield pump of the high-speed train traction converter cooling system by coupling the influence of the under-vehicle equipment, takes track high-low irregularities as the input excitation, and takes the minimum root mean square value and vibration intensity of the vertical and nodding vibration acceleration of the shield pump of the traction converter cooling system as the design target, to optimize the design and obtain the vibration isolation stiffness and damping of the shield pump of the traction converter cooling system. The simulation verification by SIMPACK shows that the method can obtain accurate and reliable design values of the vibration isolation stiffness and damping parameters of the shield pump, and provides a reliable design method for the design of the vibration isolation parameters of the shield pump of the high-speed train traction converter cooling system. The method can improve the product design level and quality, the operation reliability of the high-speed train traction converter cooling system, and reduce the product design and test cost.

Embodiments of the present application provide a client running method, a computing device, a computer readable storage medium and a computer program product. The client running method comprises: receiving stutter information sent by a first client, the stutter information being generated in the case that the first client detects a stutter event; the stutter information comprising function information of a target function corresponding to the stutter event; analyzing the stutter information to obtain the function information of the target function; generating stutter prompt information based on the function information; and sending the stutter prompt information to a target client in a silent push manner, so that the target client adjusts an execution operation of the target function based on the stutter prompt information, wherein the target client comprises the first client and / or a second client. The technical solution provided by the embodiments of the present application improves the stutter optimization efficiency of the client.

This invention relates to the field of insulation performance testing technology, specifically to a multi-band series resonant high-voltage testing device and its impedance matching method. The method involves multi-band frequency sweeping of the device under test (DUT) to acquire and finely sweep the target frequency band. Based on the frequency, peak width, and amplitude of the peak points during the fine sweep, a reference degree is obtained to screen out the true resonant points within the target frequency band. The load on the DUT is adjusted, and based on the changes in the reference degree, quality factor, and amplitude of the true resonant points under different loads, a predominance degree is obtained to distinguish between the main resonant point and local resonant points. Impedance matching is performed based on the frequency of the main resonant point to conduct a voltage boost test. The insulation performance of the DUT is evaluated for each voltage boost test based on the predominance degree of the main resonant point and the number of local resonant points after voltage boost. This invention effectively improves the accuracy of impedance matching and insulation assessment by accurately screening out the main resonant point, avoiding test deviations caused by interference, and ensuring the reliability and safety of high-voltage testing.

The utility model relates to the technical field of mine engineering technology test equipment, and specifically discloses a columnar charge blasting model test device, which comprises a test piece, the test piece is in the shape of a cuboid, a vertical blast hole is arranged through the geometric center of the test piece, the vertical blast hole is used for loading explosive columns, one side of the test piece is provided with a high-speed camera, and the test piece is positioned in a restraint. The utility model is in conformity with the stress condition under columnar charge as a whole, is convenient to operate, and is convenient for shooting the strain field evolution and crack propagation process of the complete surface around the vertical blast hole.

This invention specifically relates to a method, device, and system for testing leakage current in intelligent circuit breakers and locating line faults, belonging to the field of electrical safety testing technology. It includes: an intelligent main control and mode management module; a composite signal generation and injection module; a wideband signal acquisition and conditioning module; and a line fault location and impedance analysis module. In this invention, the composite signal generation module achieves interference-free isolation injection of leakage current signals and high-frequency location signals, ensuring high-fidelity data through adaptive filtering, multi-channel synchronous sampling, and high-precision timing. The line location module integrates TDR and frequency domain impedance methods, accurately identifying fault types through multi-frequency point deviation correction and topology-GIS association, significantly shortening the testing and troubleshooting cycle.

The utility model relates to sampling equipment with an oil heating function. The sampling equipment comprises an oil heater, an oil inlet pipe, an oil outlet pipe and a sampler, an oil inlet of the oil heater is suitable for introducing oil, and an oil outlet of the oil heater is connected with an inlet of the oil inlet pipe, so that the oil is heated and then conveyed into the oil inlet pipe; an outlet of the oil inlet pipe is connected with a liquid inlet of the sampler, a liquid outlet of the sampler is connected with an inlet of the oil outlet pipe, and the oil outlet pipe is suitable for conveying sampled oil; the oil inlet pipe is provided with a filter, a pressure gauge and a pump; the filter and the pump are sequentially arranged in the flowing direction of oil in the oil inlet pipe. The oil outlet pipe is provided with a flowmeter and a pressure transmitter; the flow meter and the pressure transmitter are sequentially arranged in the flowing direction of oil in the oil outlet pipe.

The invention belongs to the technical field of nuclear reactor engineering, and particularly relates to a rectangular flow channel multi-physics field intelligent calculation method. Comprising the following steps: step 1, determining input-output matched data pairs related to two-phase flow of a rectangular channel and a heat transfer process; step 2, acquiring input-output matched data pairs related to rectangular channel two-phase flow and a heat transfer process required by a deep learning algorithm, and establishing a data pool; 3, a loss function is constructed, supervised regression learning is carried out on output matching data after machine learning training, and a rectangular channel two-phase parameter intelligent calculation model is obtained; and 4, calculating input parameters related to the two-phase flow and heat transfer process of the rectangular channel to obtain corresponding output parameters so as to realize rapid calculation of the parameters in the two-phase flow and heat transfer process of the rectangular channel. The method has the beneficial effects that input-output characteristics can be well approached, and the calculation precision of an intelligent calculation model can be effectively ensured.

The invention discloses an analog simulation system which does not need to depend on a large number of real electronic devices, effectively reduces research and development and test cost, can flexibly adapt to radar signal simulation and analysis requirements in different scenes, remarkably improves the efficiency and accuracy of radar signal emission, reconnaissance, receiving, acquisition and processing whole-process analog simulation, and improves the reliability of the system. And efficient and reliable technical support is provided for radar related equipment research and development, algorithm verification and personnel training.

The invention provides an aircraft rapid guidance control method taking a momentum device as an actuator. The method comprises the following steps: estimating a required angular momentum; selecting a momentum device according to the estimated required angular momentum, the maximum required torque in the flight mission and the control precision requirement; designing a guidance law according to flight mission characteristics, and determining a target state trajectory by adopting a state trajectory planning method and taking the maneuverability of the selected momentum device as a constraint; and a guidance instruction is formed according to the angular velocity adjustment and maintenance curve, so that the momentum device executes attitude adjustment and stabilization of the fixed-wing aircraft according to the guidance instruction to complete guidance. Compared with a control mode adopting a pneumatic rudder, the control process is shallow in nesting depth, high in resolution ratio, higher in response speed and higher in precision; different from an air rudder, control force is formed through direct interference of airflow, a thrust vector mechanism can change a local flow field in a mass discharge mode, control is achieved in an angular momentum exchange mode, and pneumatic envelope of the whole rudder is almost not affected.

The invention relates to an assembling and adjusting method of a detector, in particular to a precise assembling and adjusting method of a focal plane Dewar CCD (Charge Coupled Device), and aims to solve the problem that the efficiency is low or the precision is insufficient when a focusing plane Dewar detector is manually assembled. The method comprises the following steps: 1) preparing a Dewar assembly, a detector assembly and an imager measurement assembly; (2) assembling the components; (3) trimming the height of each heat insulation supporting column trimming gasket according to a preset rule by utilizing the cooperation of an image instrument until the distance between each heat insulation supporting column trimming gasket and the window glass and the height error between any two heat insulation supporting column trimming gaskets meet preset requirements, and finally installing the Dewar upper cover plate; 4) adjusting the X-direction position of a detector in the detector assembly; 5) adjusting the Y-direction position of a detector in the detector assembly; and 6) reinforcing and connecting the cold plate and the heat-insulating support column through a heat-insulating support column trimming gasket to finish the precise adjustment of the focal plane Dewar CCD.

This invention relates to a digital twin modeling method for laser cladding strengthening of axial fan blades, comprising the following steps: S1: acquiring basic information on the laser cladding strengthening process of axial fan blades; S2: establishing a surface integrity calculation model; S3: monitoring strengthening process parameters and strengthening conditions, and detecting the surface integrity of the blade after strengthening; S4: inputting the strengthening process parameters and strengthening conditions into the surface integrity calculation model to obtain the surface integrity of the blade; S5: comparing the simulated blade surface integrity data with the detected blade surface integrity data to obtain a digital twin model. The digital twin modeling method for laser cladding strengthening of axial fan blades of this invention can construct a digital twin model of the laser cladding strengthening process that combines finite element simulation with data-driven processing, realizing a multivariate mapping between strengthening process parameters and strengthening effects.

The application relates to the technical field of noise and vibration control of an automobile electric driving system, in particular to a power assembly NVH (Noise, Vibration and Harshness) performance analysis method and device, a vehicle and a storage medium, wherein the method comprises the following steps: obtaining a target demand torque and harmonic parameters of a motor, and simulating a current value of the motor according to the target demand torque and the harmonic parameters; determining electromagnetic force excitation of the motor according to the current value and the target demand torque; obtaining system parameters, a three-dimensional mathematical model and motor structure parameters of a power assembly, and establishing a dynamics model of the power assembly according to the system parameters, the three-dimensional mathematical model and the motor structure parameters; performing coupling calculation of electromagnetic force and mechanical structure according to the electromagnetic force excitation and the dynamics model; analyzing node vibration response of the power assembly according to a result; and generating an NVH performance analysis result of the power assembly according to the node vibration response. Therefore, the problems of long cycle, lack of refined calibration basis, low scheme evaluation efficiency and weak risk prediction ability in the harmonic injection strategy scheme verification technology are solved.

The application discloses a kind of double carbon graphite sealing assembly air leakage rate test method and sealing fixture, including positioning ring;Positioning seat is installed in the center position of base;Sealing barrel is installed on the circumferential position of base;Support ring is installed above sealing barrel;The top of positioning seat is equipped with mandrel;Mandrel is used to cooperate with double carbon graphite ring;Positioning ring is installed in the center position on support ring, and positioning ring is used to cooperate with the rear installation side of double carbon graphite sealing assembly;Support barrel is installed on the circumferential position on support ring;Support barrel is equipped with sealing cover on the top;Sealing barrel cooperates with base, support ring and forms first sealed cavity;Support barrel cooperates with sealing cover, support ring and forms second sealed cavity;Pipe joint is installed on sealing barrel and sealing cover;Air guide pipe is installed on the side wall of support barrel;Air guide pipe is connected with the pipe joint of gas supply structure, and the pipe joint of gas supply structure is used to introduce and drain test import airflow to the middle of double carbon graphite ring.

The utility model discloses a sensing value testing jig applied to a three-axis visual motion control system. The sensing value testing jig comprises a mother jig with a magnetic attraction piece, a son jig capable of being attracted by the magnetic attraction piece and a testing probe. The female jig is designed to be of a cavity structure, and the magnetic attraction piece is arranged at the bottom of the cavity structure. The sub-jig is designed to be of a protruding block structure capable of being attracted by the magnetic attraction piece, the protruding block structure is embedded into the cavity structure, and the front end face of the protruding block structure is attracted to the magnetic attraction piece of the cavity structure. The riveting columns of the mother jig are embedded into the riveting holes of the son jig, and assembling of the son jig and the mother jig is completed; the test probe is assembled in the vertical concave cavity on the sub-jig base structure; the female jig is assembled on the three-axis visual motion control system through a bolt; and the high-precision and short-time operation test of the test probe is realized through the three-axis visual motion control system table. The device has the advantages of being convenient to use, easy to operate and the like, can be suitable for continuous updating and upgrading of samples, batches and products, meets the requirement of automatic production, and is lower in cost compared with a flying probe testing machine.

The invention provides a fault simulation test method and device. The method comprises the steps that an application layer peripheral whole vehicle model of a whole vehicle controller is built; acquiring a software test requirement and a hardware test requirement; performing software testing on the application layer peripheral whole vehicle model according to a software testing requirement to obtain a processing result output after the software testing fault signal is subjected to software fault testing; hardware testing is carried out on the application layer peripheral whole vehicle model according to hardware testing requirements, and an application layer fault flag bit when hardware fault testing is carried out on the software testing fault signal is obtained; determining a software test result according to the processing result, and determining a hardware test result according to the application layer fault flag bit; and outputting a software test result and a hardware test result. According to the method and device, application layer software and hardware can be effectively decoupled, automatic testing of the application layer software is carried out, the testing cost is reduced, and the testing flexibility and accuracy are improved.

Systems and methods for determining the concentration of a plant component in a developed food product prior to or during the manufacture of the food product are disclosed. The method may include: receiving, by a computing system, protein data of a plant component; retrieving at least one model, the at least one model having been trained to generate an output indicative of a desired concentration of a plant component to be used for developing the food product, the at least one model comprising at least one of a pH model, a temperature model, and a protein content model; providing the received protein data as input to the model; receiving an output from the model; and generating instructions for developing the food product, the instructions including a desired concentration range of the plant ingredient.