89 results about "Impedance response" patented technology

The invention provides a defect detection method and system for integrated circuit manufacturing. Wherein in the integrated circuit packaging stage, packaged chips are divided into a first type of chips meeting a preset physical characteristic threshold value and a second type of chips exceeding the physical characteristic threshold value through a pneumatic sorting device; performing scanning electron microscope imaging on the surface of the second type of chip, generating a three-dimensional topological structure by using an image reconstruction technology, and positioning a micron-sized particle defect area by comparing reference type differences; synchronously applying high-frequency electric signal excitation in the sorting process, detecting impedance response of the second type of chips, and recording an abnormal signal sequence exceeding a preset frequency domain range; performing space-time correlation matching on the micron-sized particle defect area and the abnormal signal sequence, and judging that the defect is a multi-layer composite defect when a preset coupling condition is met; and dynamically adjusting the mesh diameter and vibration frequency parameters of the pneumatic sorting device. According to the technical scheme provided by the invention, accurate identification of the multi-layer composite defect of the chip is realized, and the defect interception efficiency is remarkably improved.

The invention relates to the technical field of surface defect detection, and discloses a metal surface defect detection method and device, equipment and a storage medium. The method comprises the following steps: performing multi-frequency eddy current scanning on the surface of a metal workpiece to obtain a four-dimensional original data set containing space coordinates, excitation frequency and impedance response; performing adaptive filtering and compensation on the four-dimensional original data set to obtain target signal data; performing adaptive imaging and frequency fusion on the target signal data to obtain a two-dimensional image; inputting the two-dimensional image into a lightweight adaptive convolutional neural network for multi-dimensional feature extraction to obtain a multi-dimensional feature map; performing texture analysis and anomaly detection on the multi-dimensional feature map to obtain a comprehensive anomaly score map; and carrying out multi-modal data fusion and decision making on the comprehensive abnormal score graph to obtain a metal surface defect detection result, and improving the detection accuracy of the metal surface defect.

The invention relates to a lithium battery electrochemical impedance spectroscopy online measurement and estimation method and system based on a charging pile, and belongs to a battery detection technology. The system comprises a measurement module, an estimation module and a result output module. The measurement module comprises a signal generation sub-module, a waveform amplification sub-module and a response processing sub-module; a pulse control signal is inserted into the signal generation sub-module during charging, and is amplified into a measurement excitation signal by the waveform amplification sub-module to be applied to a battery; the response processing sub-module samples the response signal and calculates an impedance spectrum. The estimation module comprises a neural network sub-module and an impedance spectrum estimation sub-module; the neural network sub-module is used for training a physical information neural network by using impedance response to output Randles circuit model parameters to the estimation sub-module, and the change of the electrochemical impedance spectrum is predicted. And the result output module displays and stores the measured and estimated values of the impedance spectrum. According to the invention, the impedance values of the to-be-measured battery pack under multiple frequencies can be measured and estimated on line, and the estimation of the impedance spectrum is physically interpretable.

The invention relates to the technical field of audio processing, in particular to an intelligent power amplifier calibration method, system and device. The method comprises the following steps: monitoring corresponding voltage and current waveforms of a power amplifier in real time and carrying out load impedance response analysis to obtain power amplifier load impedance; acquiring a power amplifier output audio signal, and performing spectrum analysis and audio distortion detection to obtain a power amplifier output audio distortion degree; performing gain self-adaptive adjustment on the power amplifier based on the power amplifier output audio distortion degree to obtain power amplifier output self-adaptive adjustment gain; performing frequency response optimization corresponding to different frequency bands on the power amplifier output audio frequency spectrum to generate power amplifier response optimization output frequencies corresponding to different frequency bands; and performing intelligent feedback calibration on the power amplifier based on the power amplifier output adaptive adjustment gain and the power amplifier response optimization output frequency corresponding to different frequency bands to generate an intelligent calibration power amplifier. The overall performance and the use experience of the power amplifier can be improved.

Various embodiments are directed to sensor apparatuses and methods thereof. An example sensor apparatus includes a plurality of capacitors and sensor circuitry. The plurality of capacitors including a first substrate having a plurality of first electrodes, a second substrate having a second electrode, and a dielectric material, and with the plurality of first electrodes and the second electrode being separated by the dielectric material. The plurality of first electrodes are aligned with respect to the second electrode such that each of plurality of first electrodes form one of the plurality of capacitors with the second electrode. The sensor circuitry is coupled to the plurality of capacitors to differentiate between normal and shear forces applied to apparatus based on a pattern of impedance responses of each of the plurality of capacitors formed by the second electrode and the plurality of first electrodes.

The invention provides a method for predicting the residual life of a decommissioned power battery cell, and the method comprises the steps: carrying out the impedance testing of different frequencies of a to-be-tested battery cell in a decommissioned power battery in a preset testing frequency range, obtaining the impedance response data at different frequencies, and obtaining the impedance spectrum data; utilizing scene conditions corresponding to different steps are obtained, the utilizing scene conditions comprise the temperature range and the charging and discharging multiplying power, and a target step utilizing scene is matched in combination with the step grade to which the current to-be-detected battery cell belongs; performing associated storage on the target step utilization scene and the model, capacity, internal resistance and impedance spectrum data information of the retired battery cell to form a retired battery step utilization scheme; if it is detected that the battery is in an abnormal state, an early warning mechanism is triggered, and corresponding safety protection measures including cutting off a power source and starting a cooling system are taken according to a preset processing strategy.

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 relates to the technical field of material detection, in particular to a silver coating adhesive force detection method based on multi-frequency impedance imaging, which comprises the following steps: applying a dual-mode multi-frequency excitation signal to the surface of a silver coating through an attached microelectrode array, synchronously acquiring voltage-current response data, and generating a dual-mode multi-frequency impedance original data set; performing time-varying impedance phase-locked separation on the dual-mode multi-frequency impedance original data set, extracting a dynamic impedance component of a coating-matrix interface region, and reconstructing a three-dimensional sub-interface impedance distribution diagram; and outputting an adhesive force quantized value through an oscillation frequency-adhesive force conversion model according to the spatial oscillation frequency characteristics of the impedance phase in the three-dimensional sub-interface impedance distribution diagram. According to the invention, a double-phase-locked loop system is adopted to realize the time-varying component demodulation of the impedance response of the silver coating-matrix interface, the low-frequency dynamic impedance signal modulated by silver ion migration is effectively extracted, and the weak change of the interface bonding state is sensitively reflected.

The invention discloses an early failure identification method and device of a battery and a storage medium, and belongs to the technical field of electrochemistry. The method comprises the following steps: carrying out impedance test on a battery by using an alternating current impedance spectroscopy measurement technology, and recording test data information of the battery in the test process; constructing an impedance information data set by taking the frequency as the serial number of the test data, taking the type of the test data as the characteristic and taking each test point as a sample; determining characteristic data of the battery, judging an electrochemical process in charging and discharging of the battery in combination with the impedance data, and establishing a neural network; and fitting the impedance data of the battery based on a neural network, dividing the weight of impedance response of each internal interface between an internal electrode and an electrolyte in the battery and a cross-linked part of the internal electrode and the electrolyte by using the neural network, and judging the battery with early failure. According to the invention, the technical problem of difficulty in early warning of battery failure is solved.

The invention relates to the technical field of geophysical electromagnetic method inversion processing, in particular to a three-dimensional magnetotelluric discrete cosine sparse inversion method based on volume coordinate dimensionality reduction. Obtaining magnetotelluric impedance observation data to establish a non-structural tetrahedral mesh three-dimensional model; applying uniform half-space electrical parameters to each unit in the non-structural tetrahedral mesh three-dimensional model as an inversion initial model; constructing an equivalent parameter model in a sparse space so as to construct an inversion objective function; performing forward iteration to calculate electromagnetic impedance response, and utilizing a finite memory quasi-Newton method to iteratively update the equivalent parameter model; and stopping inversion until the forward modeling response of the three-dimensional model of the non-structural tetrahedron meets an iteration termination condition or reaches the maximum number of iterations. According to the method, the space mapping relation between forward modeling and inversion can be flexibly constructed by using the volume coordinates, and the model space is reduced through discrete cosine sparse transformation, so that the underqualitative degree is reduced to a certain extent, and the convergence and efficiency of the magnetotelluric three-dimensional inversion are improved.

The invention discloses a multi-frequency digital phase-locked amplification method and device based on coherent sampling, and the method comprises the steps: applying multi-frequency sine reference signal excitation containing K reference frequencies to a measured object, and obtaining an impedance response signal of the measured object; performing coherent sampling on the impedance response signal; performing synchronous digital phase locking of K reference frequencies on the discrete impedance response signal sequence to obtain amplitudes and phases under the K reference frequencies; the device comprises a front-end unit and a rear-end unit, the front-end unit comprises a positive and negative current source and a current amplifier, and the rear-end unit comprises a control processing module, a DA conversion and low-pass filtering module and a low-pass filtering and AD conversion module. The invention aims to improve the digital lock-in amplifier so that the digital lock-in amplifier can synchronously process multi-frequency signals, reduce the design difficulty and resource consumption of a pass filter and improve the precision and speed of the lock-in amplifier, so that the digital lock-in amplifier is stable and reliable and has wide adaptability.

The invention discloses an electric hot melting sleeve connection monitoring method for a polyurethane directly-buried thermal insulation pipe, and belongs to the technical field of electric hot melting sleeve installation monitoring. The method specifically comprises the steps that distributed electrode sets are embedded into annular contact surfaces on the two sides of an electric hot melting sleeve, and an electric coupling network is formed by the distributed electrode sets and a conductive enhancing structure in a polyurethane thermal insulation layer; during electrifying and heating, applying a broadband alternating current signal which is dynamically modulated and covers a dielectric relaxation frequency band of a melting interface to the electrode group; collecting electrode pair voltage response signals in real time, and resolving a complex impedance spectrum containing real part and imaginary part impedance components; analyzing real part impedance non-linear attenuation characteristics, and if the real part impedance non-linear attenuation characteristics do not accord with a rule, analyzing an imaginary part impedance phase angle fluctuation rule, extracting dielectric anomaly features, matching the dielectric anomaly features with a preset model, and performing early warning if the dielectric anomaly features exceed a tolerance range; and finally, positioning the spatial distribution of the fusion defects based on the impedance response of the electrode group.

The invention relates to the technical field of communication signal separation, and discloses a frequency spectrum segmentation method and system based on deep learning, and the method comprises the following steps: obtaining a frequency spectrum image as input, and carrying out the feature extraction of the frequency spectrum image through a deep neural network; extracting a result based on the features; mapping the capacitor array control parameters into a frequency function form; transforming the frequency function through a preset nonlinear impedance response operator to obtain a corresponding impedance response; constructing a continuity loss item of the impedance response changing along with a network prediction path in a training process; according to the gradient change condition of the impedance response; and training the neural network through a joint loss function. According to the invention, by introducing the gradient compression strategy based on the derivative norm of the control parameter, the dynamic adjustment of the amplitude of the control parameter in the high-sensitivity frequency interval is realized, and the effects that the control process is smoother and the response is more stable are obtained.

The invention discloses a physicochemical index detection method for canned food production, and relates to the technical field of food detection, and the method comprises the following steps: deploying annularly arranged near infrared spectrum, eddy current electromagnetic and biological impedance three-mode sensing units, and collecting tank reflection spectrum, eddy current loss and complex impedance response signals in a non-contact manner; extracting characteristic parameters of sulfur dioxide, heavy metals and microorganisms through wavelet packet decomposition, Hilbert transform and principal component analysis; constructing a ternary coupling correction equation set to perform cross correction on the original data, and outputting an accurate detection result; and a self-calibration mechanism and an abnormal product automatic sorting function are integrated. By constructing four core technology systems of multi-modal synchronous acquisition, cross-modal feature coupling, dynamic threshold decision and online self-calibration, lossless, efficient and multi-index parallel detection is realized, the precision is stable, the cost is reduced by 60%, and the real-time quality control and tracing requirements of a full-automatic production line are met.

Sensored mixer, comprising a mixing device for mixing two or more components to produce a mixed liquid at a mixer output, and a property sensor for determining a property of a liquid, the property sensor comprising a) a channel comprising a sensing zone through which the liquid flows; b) two electrodes for generating an electric field of one or more sensing frequencies in the sensing zone; c) a data storage device comprising a pre-stored set of calibration data representing calibration impedance responses measured previously at the one or more sensing frequencies and at different property values of the property of an identical liquid; and d) a device to repeatedly i) generate between the electrodes an electric field of in the sensing zone; ii) sense between the electrodes, a response impedance; iii) derive from the response impedance a property value of the property of the liquid, using the pre-stored set of calibration data representing calibration impedance responses, wherein the property sensor is in fluid communication with the mixer output such that the mixed liquid can flow from the mixer output through the sensing zone. A method for sensing a property of the liquid and a data set of calibration data representing calibration impedance responses usable with the sensor and the method are also disclosed.

The invention provides a battery impedance analysis method and device, a storage medium and computer equipment. When the battery impedance is analyzed, an EIS test is carried out on a target battery, and various electrochemical behaviors of the battery in the test process are captured through dynamic characteristics in test data, so that a DRT map generated by carrying out DRT analysis on the test data can visually display impedance response time corresponding to different electrochemical processes in a time dimension; after the response interval of each electrochemical process is determined, standard charging and discharging circulation can be carried out on the target battery, DCR testing is carried out on the target battery with a plurality of selected turns in the circulation process, impedance decomposition is carried out on DCR data obtained through testing on the basis of each response interval, and therefore real-time subdivision of overall impedance information is achieved. And finally, carrying out comparative analysis on impedance decomposition data obtained after subdividing each selected number of turns, so as to generate a high-quality impedance analysis result.

The invention relates to the technical field of electronic measurement and sensing, and discloses a capacitance monitoring method and system based on a sweep frequency resonance point, and the method comprises the steps: carrying out the coarse sweeping in an initial frequency range, obtaining an impedance spectrum, and recognizing a coarse resonance interval; carrying out fine scanning in the interval and calculating an accurate resonant frequency by adopting a quadratic interpolation method; calculating a capacitance value in combination with the mapping table; and dynamically adjusting the frequency sweeping window of the next period based on the historical resonant frequency. The system comprises an excitation signal generation unit, an impedance response acquisition unit, a coarse / fine scanning control unit, a resonant frequency calculation unit, a capacitance resolving unit and a dynamic frequency window updating unit, and integrates a temperature compensation and anomaly detection mechanism. Through the two-stage frequency sweeping and self-adaptive frequency window strategy, the monitoring period is shortened to 1 / 5 or below of that of a traditional method while it is guaranteed that the resonant frequency measurement precision is superior to 0.01 Hz, and the real-time performance, stability and environmental adaptability are remarkably improved.

The invention relates to the technical field of impedance measurement, in particular to an impedance measurement method and system for a common-mode inductor, and the method comprises the steps: obtaining voltage and current signals of the common-mode inductor in a test circuit, and obtaining frequency domain response atlas data containing impedance characteristics through time-frequency transformation; carrying out non-linear segmentation division on the frequency axis to form a plurality of frequency segmentation regions; extracting the phase amplitude of each segmented region, carrying out clustering segmentation, and recognizing an effective impedance frequency band; analyzing phase synchronization characteristics in the effective impedance section, and determining a common-mode resonant frequency point through clustering analysis; and fusing multi-section frequency region division, effective impedance section and resonance point information to finish accurate measurement of the impedance characteristic of the common-mode inductor. According to the method, through non-linear scanning and phase information joint analysis, the recognition precision of impedance response key characteristics in a broadband range is improved, the capturing capacity of parasitic parameters and resonance behaviors is enhanced, and efficient and high-precision comprehensive evaluation of the impedance characteristics of the common-mode inductor is achieved.

The application discloses a physicochemical index detection method for food can production and relates to the technical field of food detection. The method comprises the following steps: deploying a near-infrared spectrum, eddy current electromagnetic and biological impedance three-mode sensing unit in a ring arrangement, and non-contact collecting can body reflection spectrum, eddy current loss and complex impedance response signals; extracting sulfur dioxide, heavy metal and microbial characteristic parameters through wavelet packet decomposition, Hilbert transform and principal component analysis; constructing a three-element coupling correction equation group to cross correct original data and output accurate detection results; and integrating a self-calibration mechanism and an abnormal product automatic sorting function. The application realizes nondestructive, efficient and multi-index parallel detection by constructing four core technical systems, namely, multi-modal synchronous acquisition, cross-modal feature coupling, dynamic threshold decision and online self-calibration, has stable precision and reduces costs by 60%, and meets the real-time quality control and traceability requirements of a full-automatic production line.

This application provides a battery impedance analysis method, apparatus, storage medium, and computer equipment. When analyzing battery impedance, an EIS test is performed on the target battery to capture various electrochemical behaviors of the battery during the test process through the dynamic characteristics in the test data. Therefore, the DRT spectrum generated by DRT analysis of the test data can intuitively display the impedance response time corresponding to different electrochemical processes in the time dimension. After determining the response range of each electrochemical process, standard charge-discharge cycles can be performed on the target battery. During the cycle, DCR tests are performed on the target battery for multiple selected cycles, and impedance decomposition is performed on the obtained DCR data based on each response range to achieve real-time subdivision of the overall impedance information. Finally, the impedance decomposition data obtained after subdivision for each selected cycle number are compared and analyzed to generate high-quality impedance analysis results.

The invention discloses a guide rail rust-proof state monitoring system and method based on impedance detection, and relates to the technical field of electrochemical guide rail rust-proof monitoring. Impedance detection electrodes are arranged on the surface of a guide rail, alternating current excitation signals are applied, and voltage response signals and current response signals of the guide rail are synchronously collected; calculating to form guide rail impedance spectrum data and constructing an impedance spectrum curve, analyzing and separating impedance responses of different frequency bands, extracting impedance spectrum characteristic parameters representing oil film isolation capability, interface charge transfer capability and diffusion impedance characteristics, and establishing an equivalent circuit model to execute parameter inversion calculation; and solving interface mechanism parameters reflecting the integrity degree of the antirust film on the surface of the guide rail and the interface corrosion activity, and meanwhile, generating a guide rail antirust state spatial distribution diagram through spatial consistency analysis and gradient change analysis, thereby realizing the mechanism monitoring and spatial positioning identification of the guide rail antirust state.

The invention discloses a microwave wireless temperature sensor based on an electromagnetic metamaterial. According to the sensor, the 8 * 8 unit metamaterial array is constructed, so that efficient wireless collection and capture of space electromagnetic signals are realized; by constructing a metamaterial array cascaded microwave power synthesis feed network, power synthesis and cascade transmission of microwave wireless collection and capture signals are realized; based on the equivalent impedance response of microwave near-field resonance, a feed network output end cascade microwave complementary interdigital resonator is constructed, and metamaterial array microwave wireless signal collection and capture characteristic regulation and control based on the resonance response of the microwave complementary interdigital resonator are realized. Based on the idea that temperature information response and temperature information generation are isolated from each other, a temperature sensing probe of a metal sensing piece, a high-temperature-resistant ceramic shell and a metal hot branch knot is constructed, and temperature regulation and control of resonance characteristics of a microwave complementary interdigital resonator based on thermal strain response are achieved. Finally, the wireless sensing of the temperature information is realized by reading the echo characteristic information of the electromagnetic metamaterial array in real time.

This invention relates to the field of coordinated control of energy storage in new energy collection stations, and particularly to a coordinated control method for reactive power compensation of energy storage in new energy collection stations based on impedance reshaping. Based on the acquired three-phase AC signal, an analytical signal representation is obtained. Based on the analytical signal representation, a complex spectrum is obtained, and the impedance frequency response is determined. After processing with an exponentially weighted cumulative average filter, the actual impedance is obtained. Combined with the target impedance determined by the target impedance response model, the impedance error is determined. Based on the impedance error, a frequency-sensitive adjustment driving function is determined, and a new energy collection station adjustment residual loss function is constructed. The optimal complex impedance weighted path scheduling matrix is ​​determined. Simultaneously, a frequency segmentation objective function mechanism and a suppression function are introduced to construct a global optimization objective function, obtaining the optimal virtual impedance configuration. This solves the technical problems of resonance and stability issues, as well as reactive power response conflicts and low control efficiency caused by independent control strategies and a lack of coordinated adjustment.

The invention provides a bio-electricity signal and electrode impedance acquisition system and method, and relates to the technical field of bio-electricity signal acquisition and processing. According to the specific technical scheme, the integrated bio-electricity signal acquisition chip is used for generating an alternating current excitation signal with a specific frequency and a fixed amplitude through an internally integrated excitation source; continuously applying an alternating current excitation signal to one or more target electrodes through an internal analog switch array; the integrated bio-electricity signal acquisition chip is used for acquiring a mixed digital signal from a target electrode, and the mixed digital signal is formed by superposing a bio-electricity signal, a noise signal and an impedance response signal generated by an alternating current excitation signal on target electrode impedance; and the microcontroller unit is used for extracting electrode impedance information from the mixed digital signal and recovering the bio-electricity signal.

The embodiment of the invention provides a battery life determination method, electronic equipment, a storage medium and a program product. The method comprises the following steps: measuring an electrochemical impedance spectrum of a battery to be determined at at least one preset frequency point; wherein the preset frequency points correspond to different measurement frequencies; generating a full-frequency-domain electrochemical impedance spectrum of the battery to be determined according to the electrochemical impedance spectrum at the at least one preset frequency point; wherein the full-frequency-domain electrochemical impedance spectrum represents impedance responses of the battery to be determined in all frequency ranges; and determining the battery life of the to-be-determined battery according to the full-frequency-domain electrochemical impedance spectrum. The method is used for achieving the effect of improving the battery life determination accuracy.

The invention discloses a low-cost flexible pressure sensor with ultrahigh sensitivity and high stability, which sequentially comprises a packaging layer, an electrode layer and a sensitive layer from outside to inside, and is characterized in that the sensitive layer is formed by uniformly dispersing amorphous powder FeCrMoSiB subjected to heat treatment on porous PDMS (Polydimethylsiloxane). The sensor has extremely high sensitivity due to the fact that a large number of micron-sized holes exist in the sensor, and the amorphous powder FeCrMoSiB subjected to heat treatment distributed in the micron-sized holes forms a certain conductive network; under low stress, micron-sized holes in the sensor can be greatly closed, so that the spatial arrangement mode of the amorphous powder FeCrMoSiB subjected to heat treatment is changed, a conductive network structure is further changed, the resistance and magnetic characteristics of a thin film are changed, and finally, a relatively large stress impedance response is generated; most micron-sized holes in the sensor in a high-stress interval are closed, so that the elastic modulus of the sensor is increased, and the sensor can bear higher pressure stress.

The invention provides a diagnosis method and device for abnormal operation of an elevator. The method comprises the steps that a door lock loop conventional voltage signal, a high-frequency impedance response signal, a landing door mechanical position signal and a door lock contact micro-vibration signal are collected in real time; whether a diagnosis process is started or not is judged according to the consistency of the conventional voltage signal and the door opening and closing instruction and the voltage transient interruption condition; extracting a high-frequency impedance module value Z, an impedance angle theta, a position offset delta d, micro-vibration total energy E and principal component characteristics E1, E2 and E3; and inputting the characteristic parameters into a multi-source information fusion diagnosis model constructed based on a D-S evidence theory, respectively calculating confidence coefficients of artificial short circuit H1 and contact adhesion H2 through basic probability distribution of four evidence bodies and a D-S synthesis rule, and outputting a diagnosis result according to a decision rule. According to the method, accurate distinguishing between manual short circuit and contact adhesion of the elevator door lock loop is achieved, the diagnosis accuracy and the maintenance efficiency are remarkably improved, and potential safety hazards such as door opening and elevator walking are eliminated.

The present application relates to the field of environmental monitoring and biosensing technology, and particularly relates to a detection method and system for new pollutants in ecological environment, comprising the following steps: S100: culturing specific effector cells in a biosensing channel, and collecting trans-epithelial electrical resistance (TEER) signals of the effector cells in real time; S200: monitoring a change rate of the TEER signals, and generating an enrichment triggering instruction when the change rate exceeds a preset threshold; S300: in response to the enrichment triggering instruction, introducing a fluid to be tested, which generates the change rate, into a surface-enhanced Raman scattering (SERS) detection cavity, and starting an active enrichment unit to in-situ concentrate the fluid to be tested, so that the volume of the fluid to be tested is contracted to a detection area of a SERS substrate; the present application uses impedance response of effector cells as a preliminary screening "sentinel", realizes targeted capture of only abnormal samples with acute toxicity, avoids ineffective detection of a large number of non-toxic water samples, and significantly improves monitoring efficiency.

The invention discloses an impedance response calculation method for a three-phase alternating current system model of a flexible direct current battery swap station, and relates to the technical field of power system analysis and control. The method comprises the following steps: taking a three-phase alternating current system model of the flexible direct current battery swap station as a directed graph, obtaining tree branches and connecting branches of the directed graph, and determining a branch admittance matrix of the system model according to the tree branches and the connecting branches; performing cut set selection on the directed graph, determining a cut set matrix of the system model, and determining a cut set voltage column vector of the system model according to an input power supply column vector, a branch admittance matrix and the cut set matrix of the system model; according to the relation between the cut-set voltage and the branch voltage and the cut-set voltage column vector of the system model, the voltage and the current on the input end branch of each phase of the system model are determined, and therefore the input impedance response of each phase of the system model is determined. According to the method, the calculation efficiency of the impedance response of the three-phase alternating current system model of the flexible direct current battery swap station can be improved.

The present invention relates to the technical field of surface defect detection, and discloses a method, device, equipment and storage medium for detecting metal surface defects. The method comprises: performing multi-frequency eddy current scanning on the surface of a metal workpiece to obtain a four-dimensional original data set including spatial coordinates, excitation frequency and impedance response; performing adaptive filtering and compensation on the four-dimensional original data set to obtain target signal data; performing adaptive imaging and frequency fusion on the target signal data to obtain a two-dimensional image; inputting the two-dimensional image into a lightweight adaptive convolutional neural network to perform multi-dimensional feature extraction to obtain a multi-dimensional feature map; performing texture analysis and anomaly detection on the multi-dimensional feature map to obtain a comprehensive anomaly score map; performing multi-modal data fusion and decision-making on the comprehensive anomaly score map to obtain a metal surface defect detection result. The present invention improves the detection accuracy of metal surface defects.