4227 results about "Electrical performance" patented technology

The invention discloses an automatic control method and system for secondary granulation of a high-voltage zinc oxide resistor disc, relates to the technical field of intelligent manufacturing of power equipment, and solves the problems of out-of-control particle morphology caused by dynamic coupling parameter identification lag and control instability caused by multi-physical field parameter coupling in an existing method. According to the invention, a dynamic physical property parameter matrix is generated in real time based on multi-band dielectric relaxation spectrum analysis and terahertz wave tomography; predicting a fluidized phase change threshold value and an energy gathering area through multi-physics field coupling modeling; a time sequence attention deep reinforcement learning algorithm is adopted to generate a multi-field cooperative adjustment instruction; positioning a parameter conflict source and triggering decoupling compensation by combining a high-frequency vibration and acoustic emission combined monitoring module; performing closed-loop correction on the control network weight based on the laser spectrum data and a partial least squares regression model; the real-time performance of fluidization parameter identification, the stability of multi-field coupling control and the recovery efficiency of abnormal working conditions are remarkably improved, and meanwhile the batch consistency of the electrical performance of the resistor discs is guaranteed.

The invention relates to the technical field of probe testing, and discloses a probe testing device and method, and the method comprises the steps: carrying out the synchronous collection of the electric signal response characteristics of a plurality of chip testing probes in a chip contact process, analyzing the signal transmission interference relation between the probes, and obtaining a multi-probe signal coupling feature pattern; identifying a target signal transmission channel to obtain a first test probe configuration scheme; performing test signal input and response acquisition on the chip to obtain electrical characteristic time-frequency data of the chip; and performing multi-probe collaborative analysis and feature extraction on the time-frequency data of the electrical characteristics of the chip to obtain abnormal indication information of the electrical performance of the chip, and adjusting test parameters and contact positions of a plurality of chip test probes to obtain a configuration scheme of a second test probe. Therefore, the test system can intelligently adjust the subsequent test strategy according to the preliminary test result, and the intelligence and automation of the test process are realized.

The invention relates to the technical field of cylindrical lithium ion battery production, and discloses a method for detecting insufficient welding of a cylindrical lithium ion battery, and the method comprises the following steps: S1, appearance inspection; s2, initial internal resistance benchmark test; s3, applying a short-time large-current pulse to the battery by using a pulse generator, simulating an actual load condition, and recording an instantaneous voltage drop and current response curve of the voltage of the battery end during the pulse period; s4, performing infrared thermal imaging identification and data processing; s5, learning the picture and establishing a model; s6, comparing the test picture and the data with the model; s7, dynamic internal resistance calculation; s8, cold solder joint query and sorting processing; and S9, retesting the electrical performance. According to the invention, the technologies of dynamic internal resistance measurement, nondestructive X-ray or ultrasonic detection, rate discharge test and the like are adopted, so that efficient, accurate and nondestructive detection of the cold solder joint of the cylindrical lithium ion battery is realized, and the production efficiency and the detection precision are remarkably improved.

The invention provides a method and system for preparing a high-temperature anti-aging test board for chip testing, and relates to the technical field of data energy storage and resource scheduling, and the method comprises the steps: designing a schematic circuit diagram and a PCB wiring scheme; a test plate is made of a high-temperature resistant material; bare board verification, electrical performance verification, program setting verification, high temperature verification and junction temperature measurement verification are carried out; using data is recorded, ultrasonic cleaning and drying are carried out, and a performance evaluation model is established through a hardware management system to judge whether maintenance or replacement is needed. According to the invention, the accuracy of chip testing in a high-temperature environment is improved, and the service life of the test board is prolonged.

The invention provides a circuit board electrical performance test and diagnosis method, which comprises the following steps of: constructing a structured process-electrical data set by collecting process parameters such as etching time, pressing temperature, drilling precision, copper foil thickness and the like and electrical test indexes such as impedance deviation, leakage current, signal attenuation and the like; screening key process variables by adopting mutual information analysis and a maximum correlation-minimum redundancy criterion; through modeling of a three-layer causal diagram and a structural equation, quantitative influence evaluation of process parameters on electrical performance and fault types is realized; when a fault is detected, the system can automatically perform reverse reasoning, identify a main manufacturing deviation item and generate attribution diagnosis and process optimization suggestions, so that the accuracy of fault diagnosis and the pertinence of process adjustment are improved, and the fault occurrence rate is reduced and the product quality is improved.

Disclosed in the present invention is a physics-informed neural network-based thermo-mechanical coupling analysis method for an inertial microsystem, the method comprising: S1, configuring material parameters and boundary conditions of an inertial microsystem, and establishing a thermo-mechanical coupling analysis model; S2, performing electro-thermal coupling analysis to obtain a temperature distribution of the inertial microsystem; S3, performing thermo-mechanical coupling simulation analysis to obtain a thermal stress distribution of the microsystem; S4, predicting temperature fields of the microsystem by means of a physics-informed neural network; S5, using the temperature fields as boundary conditions for mechanical simulation of the microsystem, obtaining mechanical properties such as stress and strain of the microsystem; and S6, performing electromechanical coupling simulation analysis to analyze the impact of structural deformation on various parameters of electrical performance. The present invention improves the solution accuracy of the neural network by means of an improved adaptive weighting strategy, combines a complete polynomial basis function with the neural network, and introduces an expanded basis function to reduce the state dimensionality, thus reducing computational costs and time, achieving accurate prediction of temperature fields of microsystems at multiple moments, and allowing for computation of the performance of microsystems under electro-thermal-mechanical multi-physics coupling.

The invention relates to the technical field of power equipment state monitoring, and particularly discloses a power cable electrical performance detection method and system, and the method comprises the steps: synchronously collecting a broadband electromagnetic signal, a mechanical vibration signal and a temperature signal at a cable monitoring point; calculating a wavelet coherence coefficient between the signals through continuous wavelet transform, and constructing a multi-modal coupling tensor fusing amplitude and cross-modal time-frequency correlation characteristics; performing time slicing and high-order singular value decomposition on the tensor to obtain a time-varying core tensor sequence, mapping the time-varying core tensor sequence into a high-dimensional manifold curve, and generating a system state fingerprint by calculating local curvature distribution and topology invariants of the curve; inputting the fingerprints into a pre-trained defect prediction model, and directly outputting defect inoculation probability and evolution stage judgment; according to the method, the limitation that early weak defect detection is not sensitive in a traditional method is broken through, and early warning and accurate diagnosis of cable insulation latent defects are achieved.

The invention relates to the technical field of electrical fault detection, in particular to a mobile power supply fault detection method and system based on intelligent diagnosis, and the method comprises the following steps: collecting voltage and current data of a mobile power supply in a normal operation state, and generating an electrical performance baseline data set through recording the timestamp of the data and a corresponding electrical performance index; and based on the electrical performance baseline data set, extracting time sequence features of voltage and current to obtain electrical performance feature data. According to the invention, based on voltage and current data acquisition in a normal state of the mobile power supply, a baseline data set covering timestamps and electrical performance indexes is established, and detail information of electrical performance changes is captured by extracting time sequence features such as peak values, mean values and standard deviations; meanwhile, frequency spectrum features are accurately extracted by means of fast Fourier transform, the intensity and phase information of frequency components is mastered, then signals are decomposed through wavelet transform, and richer electrical performance anomaly information under multiple scales is obtained.

The invention discloses an electronic communication cable detection device in the technical field of cable detection, and the device comprises a workbench, an insulation tester and a dielectric loss tester, the workbench is provided with a darkroom, the axial side wall of the darkroom is symmetrically provided with ports, the ports are internally and fixedly connected with window shades, and the interior of the darkroom is fixedly connected with a defect detection assembly. A roller assembly is fixedly connected to the outer side wall of the darkroom, multi-stage clamping assemblies located on the two sides of the darkroom are symmetrically and fixedly connected to the top of the workbench, a controller is fixedly connected to the workbench, and the flaw detection assembly, the roller assembly, the multi-stage clamping assemblies, the insulation tester and the dielectric loss tester are all in signal connection with the controller. According to the invention, through multi-stage screw-in self-adaption to cables with different diameter specifications, the clamping stability is ensured, and the pressure sensor cooperates with the electrical performance detection instrument and the camera to integrate various detections, so that the detection cost is reduced, the detection accuracy is improved, and the cable to be detected is prevented from being damaged in the detection process.

The invention relates to the technical field of model prediction, in particular to a power battery thermal management simulation method and system based on a neural network. The method comprises the following steps: acquiring electrical performance parameters, thermal performance parameters and mechanical performance parameters corresponding to the power battery through coupling experiment measurement, and performing three-dimensional coupling simulation construction to generate a three-dimensional physical field coupling model of the power battery; battery thermal characteristic evaluation is carried out from four dimensions of a micro material corresponding to the power battery, a battery monomer, a battery module and a thermal management system through the power battery three-dimensional physical field coupling model, and a power battery thermal characteristic data set is obtained; and constructing a multi-scale deep neural network architecture based on a neural network in combination with the thermal characteristic data set of the power battery to perform thermal management prediction training and thermal management constraint optimization control, and generating an optimal thermal management control strategy of the power battery to execute corresponding thermal management control work. According to the invention, efficient simulation and intelligent prediction optimization of thermal management of the power battery can be realized.

The invention discloses an industrial robot predictive maintenance method and system based on multi-source data fusion, and the method comprises the steps: synchronously collecting vibration, current, temperature, acoustic and visual signals through multiple types of sensors, carrying out the filtering, correction and normalization processing, and constructing a multi-modal feature set; cross-modal alignment is realized through time compensation, after dimensionality reduction, a mechanical vibration group, an electrical performance group, a thermodynamic group and a motion precision group are divided, mahalanobis distances of the groups are calculated based on a historical health reference to serve as local anomaly degree scores, weights are dynamically adjusted according to the change rate, and the weights are combined into a preliminary health index. And introducing a nonlinear amplification mechanism to enhance high-value response, adaptively switching smooth intensity according to a degradation trend, and outputting a comprehensive health index. According to the method, comprehensive perception and dynamic evaluation of the operation state of the practical training platform are realized, multi-source heterogeneous information is effectively fused, the limitation of single signal monitoring is overcome, and the anomaly recognition accuracy is remarkably improved.

The invention discloses a method and system for testing the electrical performance of a semiconductor chip, and the method comprises the steps: building a mapping relation between dielectric loss and loss frequency through obtaining the dielectric loss data, internal material characteristics and dynamic load power factors of the chip under each frequency band, recognizing a loss abnormal region, and analyzing the influence of the loss abnormal region on the performance of the chip; correcting test data by adopting a minimum mean square error algorithm, and optimizing the impedance of the power supply network and the dynamic switching characteristic of a functional module; calculating the breakdown voltage distribution of each layer in the chip, identifying a high-voltage risk region, optimizing the voltage distribution by using a gradient descent algorithm, and dynamically adjusting the working voltage and current; power factor fluctuation is analyzed through a sliding window algorithm, an abnormal area is identified, a power factor is optimized through a PID algorithm, and the working state and transient response of a chip in a dynamic load are improved. According to the method, the problems of nonlinearity of high-frequency dielectric loss, non-uniform breakdown voltage distribution and unstable power factor response under a dynamic load are solved, and comprehensive and accurate evaluation and optimization of chip performance are realized.

The invention relates to the technical field of solar cells, and discloses a back contact solar cell and a preparation method thereof. The battery includes: a base layer; the first doped region and the second doped region are alternately arranged on one side of the backlight surface of the substrate layer; the isolation grooves are positioned between the adjacent first doped regions and second doped regions and extend into the substrate layer; at least one side wall of the isolation groove comprises a first cross section, a second cross section and a third cross section, the first cross section and the second cross section are formed in the first doped region or the second doped region, the first cross section correspondingly extends into the first doped region or the second doped region from the surface of the first doped region or the second doped region, and the third cross section correspondingly extends into the third doped region from the surface of the second doped region. The second section is connected with the first section and the third section, and the third section is at least formed in the substrate layer and connected with the bottom of the isolation groove; the third section comprises a suede slope area and a smooth slope area. The optical utilization rate of the backlight surface of the battery can be improved, the double-sided rate of the module is improved, and the electrical performance of the battery is improved.

The invention discloses a back contact cell and a preparation method thereof, a laminated cell and a photovoltaic module, and belongs to the technical field of photovoltaics, the back contact cell comprises a substrate, the substrate comprises a first region, a second region and a spacer region located between the first region and the second region, and a tunneling oxide layer and a doped polycrystalline silicon layer are arranged in the first region and the spacer region. The doped polycrystalline silicon layer is arranged on the surface, deviating from the substrate in the thickness direction, of the tunneling oxide layer, the amorphous silicon passivation layer and the doped amorphous silicon layer are arranged in the second region and the spacer region, and the doped amorphous silicon layer is arranged on the surface, deviating from the substrate in the thickness direction, of the amorphous silicon passivation layer. And the amorphous silicon passivation layer in the spacer region is positioned on one side, deviating from the substrate along the thickness direction, of the doped polycrystalline silicon layer. The insulating layer is arranged between the amorphous silicon passivation layer and the doped polycrystalline silicon layer, the insulating layer comprises a first insulating part which extends in the thickness direction and is arranged at the junction position of the second region and the spacer region, the first insulating part can prevent the back contact cell from leaking electricity in the horizontal direction, and the overall electrical performance of the back contact cell is improved.

The invention provides a preparation method of a package carrier plate, the package carrier plate and a package structure. The preparation method of the package carrier plate comprises the steps that conductive columns and filling materials are placed in through holes; and curing the filling material to form a filling part. The conductive columns do not need to be prepared in the through holes in an electroplating mode, so that the packaging carrier plate with a high aspect ratio can be prepared conveniently, pores generated in the conductive columns due to non-uniform diffusion of electroplating liquid medicine in the through holes can be avoided, and the electrical performance and the reliability of the packaging carrier plate are ensured. Meanwhile, the arrangement of the filling parts can enhance the connection stability between the conductive columns and the substrate.

The invention relates to the technical field of electrical performance parameter testing and electrical fault judgment, in particular to a storage battery grouping automatic capacity checking method. Comprising the following steps: constructing a dynamic feature tensor and a reference feature tensor by collecting electrical performance parameters of a storage battery pack in real time; the physical quantities of the storage battery at different time points are compared with the healthy battery state model, the weighted sum of errors is calculated, and a residual value is obtained; based on the change trend of the residual value in the time window, whether the evolution path of the storage battery performance deviates from the expectation or not is evaluated; and an energy disturbance offset inference mechanism is introduced to obtain a power offset value, and decision analysis is performed according to the power offset value. The technical problems that in the prior art, in the automatic capacity checking process of storage battery grouping, capacity checking operation needs manual intervention and cannot be carried out on line, the testing period is long, efficiency is low, and the bus voltage loss risk exists are solved.

The invention belongs to the technical field of metal matrix composite materials, and relates to a tungsten-copper three-dimensional orthogonal woven composite material and an intelligent design method thereof.The composite material comprises a space interwoven network structure formed by tungsten fiber skeletons arranged in the X orthogonal direction, the Y orthogonal direction and the Z orthogonal direction, and the tungsten fiber skeletons are wrapped by a copper matrix to form a three-dimensional heterogeneous composite system; the method comprises the following steps: generating a composite material structure based on parametric modeling, acquiring mechanical and electrical performance data by utilizing finite element and multi-physics field simulation, and constructing a structure-performance data set; performing performance prediction by adopting three types of machine learning models, namely ANN, SVR and LightGBM, and determining an optimal model in combination with Bayesian optimization; performing parameter reverse screening based on the optimal agent model, screening a structural combination meeting performance constraints, and constructing a closed-loop optimization process through simulation verification and model iteration; according to the method, efficient design and accurate performance prediction of the composite material structure can be realized, and the method is suitable for high-performance electromagnetic structural materials.

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 interconnection testing, in particular to an electrical performance and defect synchronous testing system of a CoWoS packaging TSV interconnection structure, which comprises a signal sorting module, a defect positioning module, a partition classification module, a hot area distribution positioning module and a load evaluation module. According to the method, through real-time monitoring and collection of the multi-source signals, the dynamic state of the key node in the TSV interconnection structure can be efficiently extracted and analyzed, the limitation of traditional single-point testing is broken through, abnormal fluctuation is accurately detected, a defect area is rapidly positioned, the recognition capability of electrical abnormity in the micro interconnection structure is improved, and the detection accuracy is improved. The device operation state and the load problem can be calibrated, the reliability of the packaging structure is optimized, the monitoring accuracy of the electrical performance of the complex interconnection structure is remarkably improved, the global problem is prevented from being missed, electrical anomalies of different hierarchies and regions are covered, the effectiveness of defect identification and fault prediction is enhanced, the detection efficiency and accuracy are improved, and the reliability of the packaging structure is improved. And the risks of missing detection and misjudgment are reduced.

The invention relates to a deflection testing device and a testing method thereof, and relates to the technical field of cable physical property testing. The flexing mechanism is arranged on the rack; the deflection mechanism comprises a driving assembly, a bending assembly, a clamping assembly and a torsion assembly. Wherein the bending assembly is used for driving a cable to bend in a reciprocating manner; the clamping assembly is used for clamping the cable; the twisting assembly is used for driving the clamping assembly and the cable to twist back and forth; the driving assembly is used for driving the bending assembly and the twisting assembly to operate synchronously. And the monitoring mechanism is arranged on the rack and is used for monitoring the change of the electrical performance of the cable in the testing process in real time. The device has the effects that the operation convenience of workers is improved, the number of power sources needed during equipment operation is reduced, and the equipment maintenance difficulty is lowered.

The embodiment of the invention relates to the photovoltaic field, and provides a back contact battery and a photovoltaic module, the back contact battery comprises first and second main grids which are alternately arranged along a first direction, the first main grid comprises a plurality of first parts which are arranged at intervals along a second direction, and the second main grid comprises a plurality of second parts which are arranged at intervals along the second direction; the first penetrating line extends along the first direction and is in contact connection with the plurality of first parts in the same row along the first direction; the second penetrating lines extend in the first direction and are in contact connection with the multiple second parts located in the same row in the first direction; the adjacent first and second through lines form a through line group, the number of the through line groups is reduced along with the increase of the number of the main grids, and the number of the main grids is the sum of the number of the first and second main grids, thereby at least facilitating the improvement of the electrical performance of the back contact battery and the reduction of the preparation cost of the back contact battery.

The invention discloses a performance test system for an aluminum electrolytic capacitor, and relates to the technical field of capacitor performance test, an environment simulation module accurately simulates a high-temperature and high-humidity environment, and an electrical performance monitoring module obtains key performance parameters in real time; the dynamic parameter acquisition module detects the electrolyte evaporation rate and the high-frequency impedance response curve change based on a mass loss method, the data analysis module comprehensively evaluates the stability of the operation performance, and the test adjustment module predicts and dynamically adjusts the test condition according to the abnormal degree, thereby achieving the comprehensive and accurate evaluation of the performance of the aluminum electrolytic capacitor. The test accuracy is effectively improved, the service life prediction is optimized, and high-reliability guarantee is provided for an industrial control system.

The invention discloses a design method and system for a frequency conversion range of a CLLC direct-current transformer based on a neural network, and the method comprises the steps: carrying out the sampling in a preset variable range, and constructing a sampling database covering all working conditions; performing simulation verification on the sampled data to generate a physical constraint data set containing forward and reverse gains; inputting the processed simulation data into a neural network model for training, and establishing a precise mapping relation between parameter variables and electrical performance; and finally, optimizing model output by integrating an optimization algorithm (such as gradient descent and genetic algorithm), and realizing global optimal solution of resonant cavity parameters under the rigid constraints that the gain matching degree error is less than 2.1% and the frequency fluctuates. According to the method, a simulation verification-model training-parameter optimization closed-loop system is innovatively constructed, through a sampling mechanism and a cross-platform data interface, the three-day optimization period needed by traditional manual trial and error is compressed, and the design is more convenient and reasonable.

The invention discloses a phased-array antenna, the phased-array antenna comprises a plurality of antenna module units, each antenna module unit comprises a PCB and an integrated radome module, and the integrated radome module is arranged on the surface of the PCB; a feed network, a dielectric substrate and an antenna radiation patch are arranged on the PCB, and the PCB is used for realizing feed and partial radiation functions; the integrated antenna housing module comprises a honeycomb support, an antenna patch, a PET film and an antenna housing, the antenna patch is etched on the PET film, the honeycomb support, the PET film and the antenna housing are mutually connected to form an integrated structure, and the integrated antenna housing module is used for realizing wave transmission, bandwidth broadening and impedance matching. According to the phased-array antenna, the use cost of PCB materials is reduced, and the problem that the electrical performance of the phased-array antenna is reduced due to dielectric loss caused by excessive use of PCB materials is solved.

The invention discloses a full-opening solar cell printing plate, and belongs to the technical field of solar cell printing. The full-opening solar cell printing plate comprises a frame, an annular auxiliary material piece and a graphical steel plate, the graphical steel plate is arranged on the annular auxiliary material piece, an avoiding area is larger than a graphical area of the graphical steel plate, the graphical steel plate comprises a buffer metal layer and a first metal layer, the graphical area of the buffer metal layer is provided with a plurality of first grid line holes, and the first grid line holes are communicated with the annular auxiliary material piece. A plurality of second grid line holes are formed in the pattern area of the first metal layer, at least one buffer metal layer is arranged on the pasting and printing face of the first metal layer, the first grid line holes are communicated with the corresponding second grid line holes, and the hardness of the buffer metal layer is smaller than that of the silicon wafer. According to the method, the surface of the steel plate can be matched with the uneven surface of the silicon wafer in the printing process, consumption of printing silver paste is saved, stable batch production is facilitated, and the electrical performance of a battery piece is improved.

The invention relates to the technical field of storage chip packaging, and discloses a high-density assembly method for a storage chip by using a modular integrated packaging technology, which comprises the following steps of: obtaining a storage chip to be assembled and a packaging element, performing high-precision scanning to obtain geometrical shape data, and constructing an assembly model; the method comprises the following steps: defining an assembly constraint for a chip to obtain an assembly relationship, searching a preferred path, constructing and segmenting an assembly space, and adjusting the path through a collision test to obtain a target assembly path. And querying path parameters to construct assembly equipment parameters, and completing parameter configuration through dynamic simulation to obtain target assembly equipment. A chip and an element are sent to a station to obtain a pre-assembled part, pose deviation is adjusted to obtain a target assembled part, and a target device and a path are used for packaging to obtain a preliminarily packaged chip. And through an electrical performance test, if the chip is normal, packaging enhancement processing is carried out, quality classification is carried out after nondestructive testing, then integrated packaging is carried out, and finally a target packaging chip is obtained. According to the invention, the high-density assembly quality of the storage chip can be improved.

The invention relates to the technical field of electrical performance monitoring, in particular to an electrochemical energy storage residual life estimation method and system. According to the method, by applying multi-stage voltage step excitation and capturing the maximum offset of the instantaneous current, the high-sensitivity characteristic reflecting the electrochemical dynamic characteristic in the energy storage monomer can be obtained, the limitation that a traditional method depends on the hysteresis index of capacity fading for evaluation is avoided, early insight of performance change is achieved, and meanwhile, the performance of the energy storage monomer is improved. The environment temperature is collected in real time, the preset correction coefficient is used for correcting the dynamic response characteristics, the interference of working temperature fluctuation on performance evaluation is effectively stripped, the consistency and comparability of characteristic data under different environment conditions are ensured, and then the deviation spectrum of the performance characteristics evolved along with time is constructed, so that the performance evaluation accuracy is improved. And the change sequences which are continuous and consistent in direction are specially identified, the irreversible decline trend caused by internal aging is accurately locked, and the influence of random noise and short-term fluctuation is filtered.

The utility model discloses a lightning arrester electrical performance test tool, which relates to the field of lightning arresters and comprises a device body, a transmission plate is slidably connected in the device body, a cover plate is connected to the outer surface of the transmission plate, a power connection port is installed in the cover plate, a lightning arrester body is slidably connected in the cover plate, and the lightning arrester body is connected with the power connection port. A limiting hole is formed in the device body, a supporting base is installed in the device body, a water outlet pipe is communicated with the interior of the device body, a water tank is connected to the outer surface of the device body, a water pumping pipe is communicated with the interior of the water tank, and a water spraying plate is installed in the device body. Through cooperation of the cover plate, the water spraying plate and other parts, the cover plate can move, so that the power connection port is in contact with the upper ends of the lightning arrester bodies at different heights, the water spraying plate can spray water, spraying simulation is performed on the lightning arrester bodies, and the problem that deviation exists between a rainy day and a real detection result is solved.

The invention provides an integrated circuit packaging system with an isolation structure. The system comprises an isolation barrier building assembly which divides a function module and a signal path into a plurality of isolation areas; the electrical performance test assembly is responsible for applying an electrical performance test signal of the integrated circuit at the input end of the integrated circuit, collecting an output signal of the integrated circuit at the output end, and analyzing the electrical performance test signal and the output signal to obtain a quality parameter of the electrical performance test signal; and the signal path adjustment component is responsible for providing adjustment suggestions for the signal path of the current integrated circuit according to the analysis result of the quality parameters. According to the invention, electrical isolation and physical protection are ensured; the signal quality and the system performance under the isolation structure are evaluated through analysis of the test signal and the output signal; providing an optimization suggestion according to a test result, and adjusting a signal path and an isolation barrier design; and the integrated circuit packaging system with the isolation structure is ensured to reach the optimal level in the aspects of electrical performance, signal integrity and reliability.

The invention discloses a preparation method and application of a safe electrolyte, and belongs to the technical field of electrolytes.The preparation method comprises the steps that a carbonic ester solvent, imidazolyl ionic liquid, a lithium salt and a composite additive are dried and dewatered, the carbonic ester solvent and the imidazolyl ionic liquid are prepared into an electrolyte organic solvent in a water-free and oxygen-free glove box, and the electrolyte organic solvent is added into a lithium ion battery; adding the lithium salt and the composite additive into the electrolyte organic solvent, and uniformly mixing to obtain the safe electrolyte; the safe electrolyte keeps the liquid-state high ionic conductivity characteristic in a normal working temperature interval, liquid-solid phase change is rapidly generated when the temperature of the battery rises to a critical threshold value, a three-dimensional net-shaped solid-state barrier layer is formed, a lithium ion transmission path is cut off so as to restrain the hot chain reaction, meanwhile, lithium fluoride salt with dynamic coordination capacity is introduced into the safe electrolyte system, and therefore the safety performance of the lithium ion battery is improved. A stable oxidation-reduction potential window is maintained in the phase change process, the integrity of electrical performance after high-temperature phase change is ensured, the electrolyte reversibly recovers to be in a liquid state after cooling, and the performance of the battery is basically not attenuated.