621results about "Environmental/reliability tests" patented technology

The invention discloses a cable optical fiber temperature measurement monitoring system based on big data AI fusion, particularly relates to the technical field of cable optical fiber temperature measurement monitoring, and aims to realize thermal-electric dynamic coupling monitoring through high-density distributed optical fiber temperature measurement and big data AI fusion modeling and introduction of current load synchronous acquisition, and realize high-density distributed optical fiber temperature measurement and big data AI fusion by means of time synchronization and space relocation processing. The method comprises the following steps: identifying a weak response signal of a thermal inertia hysteresis characteristic and an initial temperature rise stage, constructing a cross-scale time sequence recurrent neural network through multi-dimensional enhancement and vector fusion, outputting a continuous scoring sequence reflecting abnormal credibility, and constructing a risk factor group reflecting a fault evolution path in combination with a scoring fluctuation amplitude, a continuous period and a response delay characteristic, and carrying out positioning offset correction through correlation mapping of risk factors and along-cable temperature distribution and by utilizing a topological relation between optical fiber path coordinates and a cable space, and realizing space reverse projection of an abnormal peak value, thereby recovering an accurate position of a fault heat source and a latent hidden danger section.

The invention relates to the technical field of performance testing, and discloses a multi-parameter insulating sleeve aging performance testing method and system, and the method comprises the steps: carrying out the multi-parameter detection signal collection of an insulating sleeve, and obtaining standardized signal data; inputting the standardized signal data into a coupling recognition network for feature analysis to obtain a classification recognition result; performing aging factor threshold adjustment on the rising edge slope of the discharge pulse of the insulating sleeve based on the classification identification result to obtain a dynamic separation parameter; performing feature space matching and differential identification on the partial discharge signal according to the dynamic separation parameter to obtain feature classification data; phase clustering analysis and step response characteristic analysis are carried out based on the characteristic classification data to obtain the aging state variable coefficient of the insulating sleeve, the problem that the recognition precision of a traditional fixed parameter method is reduced in different aging states is solved, and high recognition accuracy and anti-interference robustness can still be kept in a complex electromagnetic environment.

The invention discloses a driver controller detection system, which comprises an acquisition module, an acquisition module, a processing module, an identification module, a judgment module, an analysis module and a generation module, the acquisition module captures contact information and electromagnetic interference data of contacts in real time by means of a high-dynamic voltage sensor and a broadband EMC probe; the acquisition module is triggered by a locomotive signal and records dynamic working condition data; the processing module aligns the data, performs denoising and extracts fault parameters; the identification module scans the voltage waveform and judges the transient contact failure; the judgment module monitors EMC data and compares an instruction position, and judges misoperation; the analysis module analyzes fault association, judges a composite type and triggers an alarm; the generation module generates a detection report and a log. According to the system, a multi-dimensional monitoring network is constructed under a dynamic working condition, data reliability is guaranteed, faults are accurately identified, a compound fault source is positioned, and the safety and stability of locomotive operation are improved through risk grading early warning and automatic reporting.

The invention discloses a switch equipment performance aging intelligent diagnosis method and device based on multi-parameter fusion, relates to the technical field of power equipment abnormal defect diagnosis, and solves the problem of low precision of aging judgment of switch equipment depending on a single temperature and humidity threshold value or a single gas parameter in the prior art. The method comprises the following steps: acquiring internal and external humiture and internal gas characteristic parameters of equipment; constructing multi-channel standardized monitoring data through time synchronization, filtering and de-noising and exception elimination processing; calculating an absolute humidity difference inside and outside the cabinet, constructing a humidity expectation model, and obtaining a standardized residual error; performing offset detection and trend smoothing processing on the standardized residual error to obtain a cumulant and a smoothing trend quantity, and fusing the cumulant and the smoothing trend quantity to calculate an offset index; outputting a moisture seepage risk score, and triggering early warning when the moisture seepage risk score and the characteristic gas concentration exceed a threshold value. According to the invention, real-time high-precision evaluation of the aging state of the equipment is realized, early hidden dangers are effectively identified, and the safety and reliability of a power system are improved.

The invention discloses a cable accessory aging assessment early warning method based on space charge characteristics. The method comprises the following steps: S1, collecting a non-alternating space charge signal, an environment temperature and an operation electric field intensity; s2, extracting multi-dimensional space charge characteristic parameters; s3, outputting an aging evaluation index, and determining an aging stage; s4, calculating a residual life prediction value; according to the method, the characteristics of multiple aspects such as charge accumulation, charge type proportion and electric field change of the cable accessory in the aging process can be comprehensively reflected, and the one-sidedness possibly existing in single parameter evaluation is avoided; space charge signal processing is optimized, alternating charge interference and attenuation and distortion influences in the signal propagation process are effectively eliminated, and the reliability of signal processing is improved. By triggering fault early warning and calculating the residual life prediction value, potential faults of the cable terminal can be prevented, and safe and stable operation of a power system is guaranteed.

The invention relates to the technical field of artificial intelligence, in particular to an electrical connection safety management and control method based on intelligent monitoring, which comprises the steps of data acquisition, time synchronization, quality evaluation, feature engineering and the like. According to the method, electric, thermal, mechanical, acoustic and other channels are placed on the same time axis through unified alignment and quality marking of multi-modal data and two-stage time synchronization and resampling, explicit marking is carried out on missing, noise and abnormal points, the weight of a subsequent algorithm can be reduced or skipped according to marks, and misjudgment caused by phase errors and dirty data is reduced.

The invention discloses a battery performance testing system based on a deep-sea low-temperature ultrahigh-pressure environment, and belongs to the field of battery performance testing, the battery performance testing system comprises a console and a testing cabin, and a watertight connector is arranged in the testing cabin; through cooperative use of the console, the test cabin, the watertight connector, the electrochemical tester, the distributed optical fiber sensor and the macroscopic monitoring module, the limitation of single function in the prior art is broken through, the watertight connector guarantees electrochemical parameter transmission, and the distributed optical fiber sensor is implanted into a battery cell to realize internal strain temperature monitoring. And the macroscopic monitoring module covers appearance and size monitoring through integrated design of a fixing ring, and data of electrochemical performance of the battery, microcosmic material state (such as internal strain and temperature of the battery cell) and macroscopic galvanic pile structure change (such as appearance bulge and size compression) can be synchronously acquired through cooperation of the three modules, so that multiscale data support from microcosmic to macroscopic is provided for research personnel.

The invention discloses an intelligent online monitoring method and system for a transformer, and the method comprises the steps: dividing historical data into a plurality of working condition intervals according to the historical working condition data, and enabling each working condition interval to have a numerical range corresponding to a working condition parameter; based on all historical operation data in the working condition interval, a dynamic reference range corresponding to the working condition interval is determined, and the dynamic reference range is a numerical value interval with an upper limit value and a lower limit value; obtaining a current operation parameter value and a corresponding current working condition parameter value of the target transformer in real time; determining a target working condition interval from the plurality of working condition intervals according to the current working condition parameter value; obtaining a target dynamic reference range corresponding to the target working condition interval; and when it is determined that the current operation parameter value is not located in the target dynamic reference range, it is determined that the transformer is abnormal, and an early warning signal is generated. The method is used for improving the early warning accuracy and reliability of transformer monitoring.

The invention relates to the technical field of power system protection equipment testing, in particular to an online testing method for a backup protector special for a surge protector, and aims to solve the problem that in the prior art, spectral characteristics under actual fault conditions such as lightning stroke or short circuit cannot be comprehensively reflected only by depending on power frequency testing. A high-frequency dynamic frequency sweeping signal is injected through the non-contact coupling unit, a multi-source signal fusion judgment mechanism is combined, the physical contact risk is avoided, meanwhile, real working condition simulation is achieved, the problems of test distortion, weak anti-interference capacity and aging monitoring deficiency in a traditional method are effectively solved, and the test accuracy is improved. The method has the technical effect of remarkably improving the test safety and accuracy.

The invention relates to the technical field of intelligent control, and discloses a multi-agent consistency detection system, which effectively improves the cooperative control capability of a multi-agent system in a dynamic environment. A real-time topology updating mechanism guarantees rapid convergence when a network structure changes, a prediction compensation module significantly reduces control delay caused by environmental interference, and a multi-dimensional health monitoring system improves the accuracy and efficiency of fault recovery. Functional decoupling is achieved through the modular design, system expansion and maintenance are facilitated, autonomous adjustment and optimization of a recovery strategy are achieved through a strategy optimization mechanism driven by reinforcement learning, the fault recovery time is shortened, and the success rate is increased. A secondary health verification mechanism ensures effectiveness of recovery operation, and secondary faults caused by continuous operation of the system in an incomplete recovery state are avoided.

The invention discloses a capacitor multi-stage adaptive flexible aging test method and system, and belongs to the technical field of industrial process advanced control. According to the method, voltage, current and temperature response data in the aging process of the capacitor are collected in real time by defining charging and discharging time sequences and initial parameters of four stages of preheating, constant current, constant voltage and resting; and comparing real-time data based on a preset model (an internal resistance change rate model and a temperature rise curve model), and dynamically adjusting power supply parameters in the next stage or triggering a protection mechanism. According to the method, the overstress or understress problem of a traditional fixed parameter test is solved, intelligent and personalized control of the aging process is realized, the test accuracy and the capacitor reliability are improved, and the method is suitable for aging test scenes of various capacitors.

The invention relates to the technical field of electric power operation and maintenance, in particular to a transformer fault diagnosis method, device and equipment and a storage medium, and the method comprises the steps: collecting a transformer acoustic monitoring signal based on an acoustic microphone array, carrying out blind source separation and decoupling, and constructing an acoustic signal feature set; transformer operation condition parameters are extracted, mechanical state degradation evaluation is carried out according to the acoustic signal feature set, and a mechanical state health degree index is generated; and calculating an acoustic signal receiving timestamp of the acoustic microphone array, performing sound source distribution mapping, and constructing a sound source spatial distribution diagram. According to the method, blind source separation decoupling, mechanical state degradation evaluation, sound source distribution mapping and fault situation diagnosis are performed by acquiring the acoustic signals and the operation condition parameters, so that tiny mechanical faults in the transformer can be accurately identified, intelligent maintenance decision is realized, and the method has the advantages that the tiny mechanical faults in the transformer can be detected earlier; the real-time performance and reliability of fault diagnosis are improved, and the accident risk caused by diagnosis lag is reduced.

The invention relates to the technical field of electronic component reliability engineering and environmental engineering, and discloses an electronic component environmental adaptability reliability prediction and life evaluation system and method, and the system comprises an environmental parameter collection module, a reliability prediction module, a life evaluation module, and a data storage and interaction module. According to the invention, a multi-dimensional sensor array including temperature, humidity, vibration, electromagnetic radiation and salt mist concentration is adopted by an environmental parameter acquisition module, multi-physical field stress parameters are synchronously acquired, and common environmental interference factors of electronic components are covered; a Kalman filtering algorithm is built in the data preprocessing unit to suppress environmental noise, the noise suppression ratio is increased by 40%, then abnormal values are eliminated through the 3 sigma criterion, and the data integrity reaches 99% or above; besides, the stress simulation sub-module realizes single / multi-stress coupling simulation through a temperature control cabin, a vibration table and the like, and ensures that the simulation stress steady-state error is less than or equal to 1% in combination with PID feedback control, so that extreme environment data of a laboratory can be supplemented, and the problem of insufficient field data is solved.

The invention, which belongs to the technical field of the energy storage converter, discloses an electrical parameter sensing-based service life monitoring system for a capacitor of a network-forming type energy storage converter, comprising the following steps of: synchronously acquiring a direct-current voltage signal and a three-phase alternating-current signal of a direct-current bus capacitor through an electrical parameter acquisition module to form a multi-dimensional feature vector; a state observer built in the ESR estimation module is used for analyzing the signal, a target capacitor ESR value is obtained, and a capacitor core temperature value is obtained through back-stepping through an electric-thermal coupling field analysis model of a core temperature back-stepping module in combination with preset capacitor surface temperature data; based on the ESR value and the capacitor core temperature value, a life prediction module calculates the residual life and health degree index of the capacitor; and the power scheduling module executes capacitor health degree-power output joint scheduling according to the health degree index, adjusts the power fluctuation range of the converter, and feeds back real-time working condition data to the electrical parameter acquisition module, thereby realizing accurate monitoring of the capacitor state and intelligent scheduling of the converter power.

The invention provides a method for predicting the service life of an electrolytic capacitor, which comprises the following steps of: taking environment temperature, operation time and equivalent series resistance (ESR) which is calculated based on ripple voltage and ripple current and is subjected to temperature compensation as input data, and taking the residual service life RUL of the electrolytic capacitor as a label; according to the failure mechanism of the electrolytic capacitor, when the ESR is increased to two times of the initial value of the ESR, it is indicated that the electrolyte is obviously lost, the capacitor fails to form a failure threshold value, and based on the failure threshold value, the RUL corresponding to each time point in historical monitoring is reversely deduced in combination with operation time data; then, performing normalization processing on the multi-source heterogeneous data to eliminate dimensional differences, and constructing a standardized data set suitable for model training; training and evaluating the model to obtain a model with residual life prediction capability; according to the technical scheme, the problem that the capacitor core temperature and the online electrolytic capacitor capacitance value required by traditional electrolytic capacitor life prediction are difficult to obtain is solved, and the engineering problem of electrolytic capacitor life prediction is solved.

The invention discloses a transformer insulating sleeve fault diagnosis method and device and electronic equipment. The method comprises the following steps: acquiring an infrared image and a visible light image of a to-be-detected insulating pipe sleeve in a transformer; respectively carrying out feature extraction on the infrared image and the visible light image by adopting a scale invariant feature transformation method to obtain an infrared feature point set and a visible light feature point set; performing feature fusion based on the infrared feature point set and the visible light feature point set to obtain a target fusion image; multiple features in the target fusion image are extracted, and the multiple features at least comprise a thermal image temperature feature, a texture feature and a shape feature; and obtaining a thermal fault diagnosis result of the to-be-detected insulating sleeve by adopting a pre-trained insulating sleeve fault diagnosis model based on the multiple characteristics. According to the invention, the technical problem of low potential thermal fault diagnosis accuracy of the transformer insulating sleeve in the prior art is solved.

The invention discloses a bypass cable intermediate joint multifunctional state monitoring method, system and device and a medium, and belongs to the technical field of bypass cable joint monitoring, and the method comprises the steps: collecting time sequence data of an interface state through a self-powered wireless sensing node disposed in a bypass cable intermediate joint composite insulation interface, and wirelessly outputting the time sequence data; the electrical connection quality parameters and the plugging sequence numbers are synchronously obtained during each plugging operation to form a plugging event record; receiving time sequence data, a plugging event record and a real-time current value, and performing data alignment by taking a plugging event as a time anchor point to construct a multi-source time sequence data set; calculating a fluctuation index of value distribution of the state parameters based on historical data in a preset sliding time window according to the state parameters; and inputting the volatility index as a weight regulation factor into the health degree evaluation model, and outputting a comprehensive health index in combination with the actual value of the current state parameter. According to the invention, the safety of bypass operation and the intelligent level of equipment management are improved.

The invention provides an aging method, an aging control device and an aging system of fault diagnosis equipment, and relates to the technical field of equipment aging, and the aging method of the fault diagnosis equipment comprises the steps: controlling an aging temperature box to work according to preset environment data, so as to enable the fault diagnosis equipment to run in the aging temperature box for a preset working duration; after the fault diagnosis equipment operates in the aging temperature box for a preset time length, waiting for the temperature of the fault diagnosis equipment to be reduced to room temperature; under the condition that the fault diagnosis equipment is in the room temperature state, connecting the fault diagnosis equipment with the to-be-tested equipment so as to determine the operation state of the fault diagnosis equipment; and if the operation state is normal, the fault diagnosis equipment is put into the aging incubator again, and the next round of aging treatment is carried out until the aging process of the preset round is completed. The real temperature cycle scene is simulated through multiple rounds of aging treatment, the real temperature cycle scene can be simulated, potential defects of the equipment are effectively excited, and the long-term service capacity of the equipment in real working conditions is improved.

The invention provides a multi-mode fusion switch cabinet partial discharge on-line monitoring system and method, and the system comprises a space setting module which employs a preset space analysis algorithm, obtains an installation point position set according to the space structure of a switch cabinet, and carries out the installation of the installation point position set; the data acquisition module is used for acquiring data acquired by the ultrahigh frequency sensor, the ultrasonic sensor and the temperature sensor, preprocessing the data and then sending the data to the signal processing module; carrying out power frequency noise suppression on the ultrahigh frequency signal and the ultrasonic signal through a self-adaptive filter circuit, and extracting partial discharge characteristics from the filtered signal by adopting a wavelet transform algorithm; and the AI model fusing the convolutional neural network and the long-short-term memory network performs fusion analysis on the partial discharge characteristics and the temperature sensor data, realizes partial discharge mode identification and insulation degradation trend prediction, and outputs early warning information. According to the technical scheme provided by the invention, high-precision and anti-interference discharge detection can be realized.

The invention relates to the technical field of multi-column lightning arresters, in particular to a multi-column lightning arrester parallel matching method, which comprises the following steps of S1, performing aging screening and energy tolerance testing on zinc oxide resistor discs of the same batch; s2, measuring the direct-current reference voltage Uref of the resistor discs, the leakage current I0 under 0.75 Uref, the impact residual voltage UL under the lightning wave and the operation residual voltage US under the operation wave one by one; s3, screening the resistor discs for three times; and S4, high-low matching is carried out by taking the operation residual voltage US as a main matching basis, so that the operation residual voltage deviation of each column of series resistor disc group is smaller than a first preset value, and the direct current reference voltage numerical value deviation is smaller than a second preset value. The strict screening process ensures the consistency of the performance of the resistor discs, and the reasonable grouping mode makes the electrical performance of each column resistor disc group more balanced, thereby achieving the effect of improving the operating wave endurance capability and the current sharing characteristic of the multi-column lightning arrester, and reducing the probability of faults caused by uneven current distribution of the MOV.

The invention relates to the technical field of electric power fitting testing, in particular to an electric power fitting aging testing device and method, the stress state of an electric power fitting in actual use is simulated through the cooperation of a tensioning mechanism and a mechanical loading mechanism, environmental loads such as temperature change, humidity change and salt mist are applied through an environmental load simulation mechanism, and the aging test of the electric power fitting is achieved. And meanwhile, alternating current is applied to the electric power fitting through the power supply module, so that the actual load of the electric power fitting is comprehensively simulated, a test environment identical to an actual application environment is constructed, and the reliability of a test result is ensured. And meanwhile, an equivalent cable simulation load spectrum is deduced according to historical load data by using a fatigue damage model, and the tensioning mechanism, the mechanical loading mechanism and the environment simulation mechanism act cooperatively according to the cable simulation load spectrum to carry out aging test on the electric power fitting, so that the test time is shortened, and the accuracy of an aging test result is ensured.

The invention discloses a terahertz reflectance spectrum-based insulating oil micro-water content and aging detection method, device and equipment and a storage medium, and relates to the technical field of dielectric spectroscopy, and the method comprises the following steps: sampling each standard sample to obtain a to-be-detected sample, placing each to-be-detected sample in a sample bearing vessel to obtain an oil film layer, reflecting terahertz wave beams are utilized to irradiate each oil film layer to obtain a terahertz amplitude spectrum and a terahertz phase spectrum, a target three-layer optical model is utilized to perform inversion to obtain a complex dielectric function frequency spectrum, and a preset sub-dielectric model is utilized to fit the complex dielectric function frequency spectrum to obtain a main resonance characteristic and a characteristic parameter set; determining a reference micro-water content based on the main resonance characteristics, determining training data based on the characteristic parameter set, and constructing a target multi-task regression model; and processing the characteristic parameter set by using the model to obtain an initial prediction result and a confidence interval, verifying the prediction result to obtain a target prediction result, and improving the efficiency of detecting the micro-water content and aging of the insulating oil.

The invention discloses a shared charging pile authorization payment system and an implementation method, and belongs to the technical field of shared charging piles, and the system comprises a plurality of user terminals, a cloud management platform, a charging pile control terminal and a plurality of shared charging piles. The user side receives an operation request of a user; the cloud management platform generates a cloud instruction based on the operation request; the charging pile control end controls the shared charging pile according to the cloud instruction; the shared charging pile comprises a temperature detection module, an electric energy metering module and an MCU. The temperature detection module detects the temperature of a data processing chip of the shared charging pile or the temperature of the internal environment of the shared charging pile; the electric energy metering module collects state parameters of the shared charging pile, and a metering chip in the electric energy metering module sends the state parameters to the MCU. Each charging process is metered through the metering chip, the utilization rate of the charging pile is improved, the installation number and installation cost of private charging piles and the number of erected wires are reduced, and the probability of safety fire protection risks is reduced.

The invention discloses a multi-field coupling fatigue test device and method for a high-temperature superconducting tape, and belongs to the field of superconducting tape fatigue tests.The multi-field coupling fatigue test device for the high-temperature superconducting tape comprises a fatigue testing machine, and a test container used for providing a low-temperature field is arranged in a test area of the fatigue testing machine; a clamp assembly used for fixing a sample to be tested is arranged in the experiment container, the clamp assembly is connected with a current assembly used for providing an electric field, and a magnet assembly used for providing a magnetic field is arranged in the experiment container. According to the multi-field coupling fatigue test device and method for the high-temperature superconducting strip, the limitation of an existing test means is broken through, and a reliable experimental platform and application value are provided for mechanical property research and service life evaluation of superconducting materials and other low-temperature service materials.

The invention discloses an intelligent monitoring method and system for the microenvironment of a power distribution cabinet, and the method comprises the steps: collecting the multi-parameter data of the microenvironment of the power distribution cabinet in real time through a plurality of sensors disposed in the power distribution cabinet, and enabling the multi-parameter data to at least comprise temperature, humidity, voltage and current; transmitting the multi-parameter data to a processing platform through an internet of things network; on the processing platform, performing data fusion processing on the multi-parameter data to obtain comprehensive environment parameters; based on the comprehensive environmental parameters, performing environmental state evaluation by using a fuzzy logic algorithm, and outputting a security level; based on the time sequence data of the comprehensive environmental parameters, using a time sequence prediction model to carry out fault prediction, and outputting a parameter change trend; and performing anomaly detection based on at least one of the comprehensive environmental parameters, the security level and the parameter change trend, and sending out an alarm signal when an anomaly is detected. The invention aims to realize real-time accurate monitoring of the microenvironment of the power distribution cabinet, early warn various potential risks in time, avoid the situations of terminal strip corrosion, poor contact of a secondary line, short circuit, lightning breakdown, false alarm of a switching signal, false operation of a primary switch and the like caused by the microenvironment problem, improve the power supply reliability and guarantee the safety of a power grid.

The invention relates to the technical field of power equipment state monitoring, and provides a switch cabinet state intelligent detection method and system based on multi-sensor fusion, and the method comprises the steps: obtaining state data corresponding to a switch cabinet through a temperature sensor, a vibration sensor, a partial discharge sensor, a current sensor and a voltage sensor which are disposed in the switch cabinet; inputting the obtained state data into a preset data preprocessing module, performing denoising processing and normalization processing on the state data, obtaining preprocessed multi-source data, and generating a multi-dimensional feature vector; inputting the multi-dimensional feature vector into a preset hierarchical fusion model, carrying out feature layer fusion on the multi-dimensional feature vector to obtain an intermediate fusion feature, combining historical operation data and historical fault data of the switch cabinet, carrying out decision-making layer weighted fusion on the intermediate fusion feature to generate a comprehensive state feature vector, and outputting the comprehensive state feature vector. And triggering a corresponding early warning system or a fault alarm system.

The invention discloses a method and system for testing the matching degree of a fuse and a wire for an automobile wire harness, and the method comprises the steps: collecting the physical parameters of the wire, the rated parameters of the fuse and a safety matching threshold value, synchronously collecting various parameters, such as aging, environment, load current and the like, calculating various correction factors, and correcting to obtain the dynamic current-carrying capability of the wire. And calculating a matching degree risk early warning index and a self-adaptive matching adjustment coefficient, executing an adjustment operation, and performing dynamic cycle monitoring. The system is correspondingly provided with multiple types of acquisition, calculation and adjustment modules. According to the scheme, the problem of coupling mismatching caused by static matching in the prior art is solved, dynamic accurate matching is achieved, and the use safety and stability of the automobile wire harness are guaranteed.

The invention discloses a hydrogen fuel cell test system and an application method, and the system comprises a test chamber which is internally provided with a plurality of test cavities for placing hydrogen fuel cells to be tested; the plurality of fuel cell acquisition wire harnesses are connected with the output end of the hydrogen fuel cell to be tested in each test cavity; the gas supply module is arranged at the periphery of the test chamber; the load is arranged at the periphery of the test chamber and is connected with each hydrogen fuel cell to be tested; the data acquisition module is used for acquiring environment information in each test cavity; the execution modules are arranged in the cavities and used for simulating the working environment; and an external control center. According to the testing system, through cooperative work of all the modules, the running states of the hydrogen fuel cell under different working conditions can be accurately simulated, and real-time detection and analysis of multiple parameters such as voltage, current, power, efficiency, gas flow, pressure and temperature of the fuel cell are achieved; and effective technical support can be provided for research and development, production and quality detection of the hydrogen fuel cell.

The invention discloses an electronic device test fixture and a test system, and relates to the technical field of capacitance detection. The electronic device test fixture comprises a sample mounting unit and a test switching unit, the sample mounting unit comprises a test piece connecting part and a test signal interface, and the test switching unit comprises a signal input interface and a signal output interface. Wherein the test piece connecting parts are used for connecting electronic devices, the plurality of test piece connecting parts of the sample mounting unit are adapted to at least two electronic devices of different specifications, and a plurality of mutually independent conductive paths are formed between the test switching unit and the plurality of test piece connecting parts. And the test switching unit is used for transmitting a test electric signal received by the signal input interface to an electronic device loaded on the sample mounting unit. The test fixture can test the reliability of electronic devices of one or more specifications, and improves the test efficiency of the reliability of the electronic devices.

The invention relates to the technical field of electrical detection, in particular to a multi-stress coupling environment reliability testing method for an electricity consumption information acquisition terminal. Comprising the steps of applying a combined stress field to an electricity utilization information acquisition terminal through an environment test box; acquiring power utilization information acquisition terminal parameters; the method comprises the following steps of: capturing metering pulse response and carrier communication interaction signals of an electricity utilization information acquisition terminal under the excitation of a combined stress field by utilizing an electrical sensor, extracting carrier signal-to-noise ratio data and metering reference drift data, and generating a reference voltage compensation coefficient and an impedance matching threshold value; projecting the carrier signal-to-noise ratio data to an impedance matching threshold value, and constructing a stress failure envelope surface according to a hardware overload protection threshold value; and mapping the communication quality distortion residual vector to a stress failure envelope surface, and calculating a reliability life prediction value. According to the method, a uniform excitation environment is constructed, and performance degradation of different dimensions is uniformly quantified into accumulative stress damage integral, so that the comprehensive anti-interference capability of the terminal in a multi-stress coupling environment can be truly reflected.