1657 results about "Electrode array" patented technology

The invention relates to the technical field of electromagnetic pulses, and discloses an electromagnetic pulse data transmission method. The method comprises the following steps: collecting natural electromagnetic pulse signal data of a detection target area through a six-dimensional complementary electrode array structure, and executing Kalman filtering peak extraction and characteristic frequency locking to obtain frequency-optimized signal data; executing first-order and second-order gradient difference matrix calculation and space vector synthesis to obtain signal source position coordinate data and signal intensity data; performing spectral domain reconstruction and multilayer dynamic threshold analysis to obtain a spatial clustering abnormal data packet; and selecting an optimal transmission channel to transmit the spatial clustering abnormal data packet to a cloud server. According to the invention, the influence of an external interference source is effectively eliminated, accurate extraction and characteristic frequency locking of effective frequency band signals are realized, power frequency and harmonic interference thereof are effectively suppressed, the signal-to-noise ratio of the effective frequency band of the signals is improved, and the reliability and timeliness of data transmission in a severe field environment are ensured.

The invention belongs to the technical field of signal acquisition and processing, and discloses a low-noise biopotential signal acquisition system and a low-noise biopotential signal processing method. An original bioelectricity signal of a human body is collected through an electrode array, and analog-to-digital conversion is carried out after the signal is processed by a multi-stage self-adaptive filtering and amplifying circuit. A digital signal is sequentially subjected to adaptive wavelet transform denoising and empirical mode decomposition to obtain a multi-level intrinsic mode function set, an intrinsic mode function of a characteristic frequency band is extracted from the multi-level intrinsic mode function set, and the signal is reconstructed. Introducing a dual noise reduction mechanism combining adaptive wavelet transform and empirical mode decomposition; a signal quality real-time evaluation system is established, and system parameters including the gain of a variable gain amplifier and the bandwidth of a dynamic band-pass filter are dynamically adjusted through closed-loop feedback. The self-adaptive optimization of the whole biopotential signal acquisition process is realized, various interferences are effectively inhibited, the signal characteristics are reserved, and the signal-to-noise ratio is remarkably improved.

The invention discloses a multichannel electrophysiological signal acquisition system and an acquisition method thereof, and the multichannel electrophysiological signal acquisition system comprises a power supply module electrically connected with a controller, an analog front-end chipset, a filter module and an analog-to-digital conversion module; the analog front-end chip set is used for acquiring an analog signal and preprocessing the analog signal; the pre-processed analog signal is converted into a digital signal through a filter module and an analog-to-digital conversion module, and the digital signal is transmitted to a controller; the filter module is used for filtering and denoising; the timer module connected with the controller generates a sampling frequency, transmits the sampling frequency to the analog-to-digital conversion module, and provides a time sequence signal for the analog-to-digital conversion module. The invention discloses a multi-channel electrophysiological signal acquisition system, which solves the problem of synchronous sampling time sequence control of a high-density electrode array and eliminates signal phase deviation caused by clock jitter among multiple channels under the constraint of maintaining the total power consumption of the system. And real-time power frequency interference suppression is realized.

Aspects of the present disclosure relate to flexible catheters for electrophysiological mapping and ablation using high-density electrode arrays. These catheters can be used to detect the electrophysiological properties of tissue in contact with the electrodes and perform monopolar and bipolar ablation of the tissue.

The invention belongs to the technical field of medical electronic equipment, and discloses a control system for alternative electrical stimulation of idiopathic tremor, and the system comprises a signal collection module which is used for obtaining tremor motion data of a patient in real time; the signal processing module is used for analyzing tremor frequency, amplitude and phase characteristics; the dynamic parameter generation module is used for generating an alternate stimulation mode according to the tremor characteristics; and the electrode array module comprises at least two stimulating electrodes and a reference electrode. The invention provides a non-invasive and dynamically optimized alternate electrical stimulation control system which is used for inhibiting hand tremor of an idiopathic tremor patient, regulation and control of a tremor network can be enhanced by alternately stimulating different peripheral nerves, the curative effect can be improved through closed-loop feedback optimization parameters, long-acting and safe tremor inhibition is achieved, and the treatment effect is improved. The problems of insufficient curative effect, nerve adaptability, surgical risk and the like in the prior art are solved.

A catheter for electrophysiology applications is disclosed herein that includes a tubular member and an end effector. The end effector is coupled to a distal portion of the tubular member which as a cross-section intersecting first and second orthogonal planes extending along a longitudinal axis. The end effector includes first, second, and third loop members and has an unconstrained configuration in which the first and second loop members respectively define planar surfaces which each intersect the first and second orthogonal planes and the third loop member defines a planar surface that intersects only one of the first and second orthogonal planes.

The invention relates to the technical field of engineering, in particular to a geomembrane defect detection system and method under the earth and stone medium coverage condition, and the geomembrane defect detection system comprises a multi-mode adaptive sensing module, an edge calculation module, a data fusion module, a digital twinning module and a decision and application module; compared with the defects that single resistivity or geological radar detection is adopted in the prior art, interference of medium conductivity and metal impurities is likely to happen, and the deep resolution is insufficient, the scheme adopts multi-mode sensor network cooperative work, and a dynamic density layout and time-phased acquisition strategy is combined; through multi-mode complementation of an electrode array, an ultra-wideband radar, a distributed optical fiber and an MEMS vibration sensor, a dominant sensing mode is automatically switched in a conductive clay area, temperature gradient interference is avoided through night acquisition, the penetration depth is increased to 15 meters through multi-band radar fusion, and metal interference is inhibited; the detection precision and the anti-interference capability in a complex medium environment are remarkably improved, and the problems of high false alarm rate and high omission ratio of a traditional method are effectively solved.

A device, including an electrode array carrier, that carries one or more electrode arrays, and a therapeutic substance such as for example an anti-inflammatory, wherein the therapeutic substance is located in at least one cavity of the carrier, the cavity having at least one of a non-uniform depth or a non-uniform width with respect to location in a direction of the depth that has an effective impact on a delivery of the therapeutic substance to a human.

The invention discloses a closed-loop noninvasive spinal cord electrical stimulation regulation and control method and system based on motion data, and the system is provided with a flexible electrode array patch which is attached to the skin surface of a to-be-tested human body; the sensing module is used for collecting electromyographic signals or acceleration signals of a user; the signals are processed, and characteristic values related to actions and motions are extracted; the closed-loop feedback module compares the characteristic value with a model set characteristic / threshold value, and judges whether to start stimulation site and stimulation parameter adjustment or not; automatically selecting an optimal electrode unit and a corresponding stimulation parameter based on a judgment result; the dynamic regulation and control module controls the optimal electrode unit to output stimulation current, and regulates the activity of corresponding spinal cord neurons; and continuously performing closed-loop adjustment on the electrode unit and the stimulation parameters according to the motion feedback data. According to the method and system, precise stimulation and closed-loop regulation and control based on the motion response of the patient are achieved, and the problems that stimulation target positioning depends on artificial experience, parameter adjustment is not timely, and individualized and closed-loop feedback capacity is lacked are solved.

The invention discloses an electrostatic induction and optical imaging principle-fused online monitoring device and method for wear particles of a water-lubricated bearing, and belongs to the field of state monitoring of mechanical equipment. The device comprises a square insulation detection cavity, a detection electrode array, an electromagnetic shielding shell, a high-speed optical imaging module and a signal processing unit, the square insulation detection cavity is installed in a bearing lubrication water loop. The detection electrode array is fixed to the outer wall of the cavity and used for capturing electrostatic signals generated when the abrasion particles pass through. The electromagnetic shielding shell wraps the detection cavity and is grounded through a wire to eliminate environmental electromagnetic interference. The high-speed optical imaging module integrates a high-magnification microscope lens and a CMOS sensor, is coaxially mounted with the detection cavity, and obtains the morphology characteristics of the wear particles in real time; and the signal processing unit performs multi-modal data fusion analysis on the electrostatic signal and the optical image. Through cooperative detection of electrostatic induction and optical imaging, the monitoring precision and reliability of the wear particles of the water-lubricated bearing are remarkably improved.

A closed-loop neuromodulation system, including an electrode array that is implantable to a brain of a subject, analog front-end device (AFD) for selectively selecting and reading a plurality of channels from electrode array, a finite impulse response (FIR) filter for selectively filtering signals from the AFD, a feature extraction engine (FEE) operatively connected to the FIR filter, configured to selectively extract features from signals provided by the FIR filter, a tree-structured hierarchical neural network classifier for detecting disease symptoms, and a multi-channel stimulator having high-voltage (HV) drivers operatively connectable to the electrode array.

The invention discloses a vehicle exterior handle waterproof false triggering system and method based on double-frequency-point charging and discharging resonance, and relates to the technical field of automotive electronics. An electrode array composed of capacitance detection electrodes is arranged on the inner side of a vehicle exterior handle to form a vehicle exterior handle capacitance sensor; in a non-interference environment, high-frequency and low-frequency mutual capacitance reference values are collected, and a compensation parameter library is established by associating outer handle shell parameters of the vehicle; a self-capacitance channel of the electrode array is used for detecting proximity signals, high-frequency and low-frequency mutual capacitance signals are collected, and the high-frequency and low-frequency mutual capacitance signals are preprocessed; calling a compensation parameter library to correct the preprocessed high and low frequency mutual capacitance signal, and calculating the mutual capacitance increment and change slope of the high and low frequency mutual capacitance signal; based on the mutual capacitance increment and the change slope, human body touch and water interference are distinguished by analyzing high-frequency and low-frequency signals.

The invention discloses a self-energy-supply multi-mode sensing electronic skin based on ionic gel heterojunction array integration and a preparation method and application of the self-energy-supply multi-mode sensing electronic skin. The electronic skin adopts a multi-layer composite structure design and comprises an electrode array layer, a silver paste connecting layer, a nano material doped ionic gel array layer and a pure ionic gel continuous layer, and passive self-energized work is realized through a space ion migration effect at a heterogeneous gel interface. The method is characterized in that the design of a multi-layer flexible composite structure is adopted, space-time coded light, temperature, pressure and humidity four-mode stimulation can be synchronously converted into electroneurographic signals, and a collaborative identification strategy of response intensity dynamic range and synaptic learning / delay time difference is utilized; and high-precision decoupling of the multi-source signals is realized in combination with a classification decision tree algorithm. The electronic skin has the characteristics of flexibility, deformation, environment self-repairing and bionic synapse, and geometrical characteristics of a reconfigurable target source are fused through time-space domain multi-modal data.

The invention provides a submarine sedimentary environment dynamic change characteristic inversion method based on three-phase potential. The method comprises the steps of in-situ data processing, electrical signal calibration, mathematical model establishment and dynamic change analysis. A seabed electrode array is arranged, signals of natural potential, resistivity, oxidation-reduction potential and the like are collected in real time, and seabed sedimentary environment characteristics such as seabed interface position, suspended particle concentration, sediment density, porosity, water content and the like are deduced by adopting an inversion algorithm. The method is combined with multi-frequency signal analysis, and can monitor seabed sedimentary environment changes in real time, identify sediment movement and the like. Compared with the prior art such as CN118153411B and CN110411923B, more abundant inversion contents are covered, the monitoring precision and efficiency are improved through the complementarity of potential signals, and higher adaptability and reliability are achieved. The method has low equipment and maintenance cost, is suitable for large-range and long-term monitoring, and can provide an innovative solution in the fields of deep sea monitoring, environment evaluation, resource exploration and the like.

The invention relates to the technical field of aluminum ash washing filtrate recycling intelligent control, in particular to an aluminum ash washing filtrate recycling intelligent control device and method, and the device comprises a multi-parameter online detection module, a data processing optimization module, a process parameter execution module and a filtrate circulation module. The multi-parameter online detection module is used for cooperatively detecting the real-time concentration of trace impurity ions such as fluorine, potassium and sodium through an ion selective electrode array and a micro spectrum analyzer; predicting the dissolution trend of impurity ions through an LSTM model and generating a process parameter adjustment instruction; the process parameter execution module regulates and controls the stirring strength, the liquid-solid ratio and the water-ash contact time in a linkage manner; and the filtrate circulating module is used for buffering, homogenizing and proportionally mixing the washed liquid phase to generate a regenerated leaching medium for recycling. According to the method, the detection data and the model decision are dynamically matched through the closed-loop control process, and the impurity element removal efficiency is improved.

The invention relates to a device for performing electric field treatment on a digestive tract, which comprises a support body, an electrode array film and a pulse generator, an electrode is coupled to the pulse generator through an electrode lead embedded in a film body, an electric heating wire is further embedded in the film body, and the electric heating wire is connected with the support body. The heating wire is coupled to a pulse signal output end of the pulse generator through a heating wire lead embedded in the membrane body, at least one electric connection point is arranged between the heating wire and the electrode on the electrode array membrane, and a voltage signal between the heating wire lead and the electrode lead serves as a temperature sensing signal. The temperature sensing circuit and the electric heating circuit are integrated, the circuit is simple, and leads on the electrode array film are reduced.

The invention discloses a method for testing a polyurethane thermal insulation layer of a new energy automobile battery pack. The method comprises the following steps: simulating the operation condition of the battery pack, constructing a scenarized digital environment, and obtaining multi-condition multi-band data; arranging a virtual electrode array based on the data, applying an alternating current signal and collecting electrical information such as impedance and phase; and a three-dimensional impedance distribution map is generated through iterative inversion by combining a multi-physics field coupling model, and the defects of the polyurethane thermal insulation layer are identified and evaluated. According to the technical scheme, under the real working conditions of high and low temperature, fast charging, discharging and the like, the potential problems of cracks, delamination, bubbles and the like in the heat insulation layer can be accurately positioned, and the safety and the heat management efficiency of the new energy automobile battery pack are improved.

The invention discloses a motion state monitoring and feedback system and method based on electroencephalogram signals, in the system, an electrode array is arranged corresponding to a forehead part and used for collecting the electroencephalogram signals, a motion sensor is used for collecting motion data signals, and a vibration motor is used for sending out vibration feedback; the electroencephalogram collection hair band sends the electroencephalogram signals and the motion data signals to the mobile terminal, and the mobile terminal sends the electroencephalogram signals and the motion data signals to the cloud processing platform; the cloud processing platform is used for predicting input electroencephalogram signals and motion data signals by adopting a physical and mental state prediction model based on a deep neural network to obtain physical and mental state indexes; triggering a self-adaptive feedback intervention strategy according to the physical and mental state indexes, and controlling a vibration motor to send vibration feedback in a preset mode. According to the technical scheme of the invention, the recognition accuracy of the physical and mental state characteristics of the movement of the user is improved, and the wearing comfort and convenience of the signal acquisition device are improved.

The disclosure provides devices, systems, and methods for physical therapy. Electrical signals are applied to a subject via electrodes in a device worn on the body part receiving the therapy. The device can be operated remotely. The device can use artificial intelligence to evaluate and design physical therapy routines using the electrodes.

The invention provides a system and method for detecting free carbon particles in transformer oil based on a microelectrode array, and the system comprises a sampling module which comprises an oil inlet pipeline and a filtering device, an oil sample is conveyed to a microelectrode array sensor module from a transformer oil tank through the oil inlet pipeline, and the filtering device is located in the oil inlet pipeline; a filter membrane is arranged in the filter device to remove impurities in the oil sample; the microelectrode array sensor module comprises a microelectrode array sensor, the microelectrode array sensor is nanoelectrodes arranged on a silicon substrate, the surface of the microelectrode array sensor is coated with graphene oxide to adsorb free carbon particles in an oil sample, and when the free carbon particles are adsorbed to the surface of the microelectrode array sensor, an adsorption signal is generated; and the signal processing unit is used for extracting the characteristic frequency and intensity of the vibration of the carbon particles in the adsorption signal, and classifying the carbon particles according to the characteristic frequency and intensity of the carbon particles. The device is compact in structure, the maintenance cost is reduced, and the operation process is simplified.

The invention discloses a hidden multi-mode brain state real-time monitoring and closed-loop intervention system, and relates to the technical field of intelligent wearable equipment. The system comprises a cap body, and further comprises a multi-point electrode array used for collecting EEG (electroencephalogram) signals, EOG (eye movement) signals and EMG (electromyography) signals of a human body; the brain blood oxygen monitoring module is used for monitoring brain blood oxygen saturation; the signal receiving and processing module is used for preprocessing and analyzing data acquired by the multi-point electrode array and the brain blood oxygen monitoring module; the multi-mode stimulation module is used for implementing sensory and nerve stimulation on the user according to a judgment result of the state judgment module so as to intervene in a drowsiness or attention decline state; and the power supply module and the communication unit are used for providing a working power supply for the modules needing power supply in the system and carrying out data communication with external terminal equipment. The system can monitor the waking degree of the user with high precision and carry out closed-loop feedback intervention by various stimulation means.

Systems and methods for cortical mapping to optimize placement of a neural interface in a brain of a patient are provided. A method for cortical mapping of a brain of a patient includes implanting an electrode array proximate to the brain of the patient at a position. The electrode array may include a flexible substrate and a plurality of electrodes arranged on the flexible substrate. The method may further include monitoring and electrophysiological mapping of the brain by causing the patient to perform, attempt to perform, or imagine performing an action over a period of time, recording, via the electrode array, neural activity exhibited by the patient in response to the action or imagined action performed by the patient, decoding the neural activity to determine a correspondence between the neural activity and the action, and determining a level of confidence, wherein the level of confidence is based on the correspondence.

The invention provides a multi-modal information acquisition and roof global attitude monitoring method and system, and relates to the technical field of mining safety monitoring and roadway surrounding rock control. The method comprises the following steps of: acquiring acoustic, optical, electrical and mine pressure multi-source data by arranging a fan-shaped drill hole, an annular electrode array and various mine pressure monitoring devices; a wave velocity profile, a fracture parameter set and a resistivity equivalent cloud picture are generated through wavelet noise reduction, fracture recognition and resistivity inversion, space-time registration with a mine pressure data sequence is carried out, and roof partition probability distribution is output through a space-time feature pyramid network. Furthermore, improved XGBoost is adopted for joint inversion of the thickness of the loose circle, the Poisson's ratio and the elastic modulus, probability distribution serves as a space weight, the separation amount and anchoring stress data are fused, and a roof displacement field, a curvature field and a rotation field are reconstructed. And finally, generating an early warning based on a preset safety threshold value, outputting a posture partition map and a monitoring report, and realizing top plate posture transparent deduction and support coordinated regulation and control.

The invention discloses a closed-loop control digital microfluidic system and a method thereof, and relates to the technical field of microfluidics, and the method comprises the following steps: initializing a digital microfluidic chip electrode array, setting an electrode spacing, an electrode size and a voltage upper limit, collecting a no-load state signal, and generating initial reference data; liquid drops are formed at the preset position of the digital micro-fluidic chip, and according to the initial reference data, the initial position, the volume and the form information of the liquid drops are collected, and a liquid drop initial state data set is generated; inputting the initial state data set of the liquid drop into a pre-trained closed-loop prediction model, performing kinetic analysis and trajectory prediction calculation, generating an expected motion trajectory of the liquid drop, and comparing the expected motion trajectory with the real-time state data flow of the liquid drop to generate deviation feedback data of the liquid drop; and dynamically adjusting the initial driving voltage parameter according to the droplet deviation feedback data to generate a closed-loop driving voltage sequence. The liquid drop trajectory control precision is improved, and motion errors caused by environmental disturbance and electrode response differences are reduced.

Disclosed are an implantable electrode, a stimulator and a control method therefor, an electronic device, and a storage medium. The implantable electrode comprises: a control module, the control module being configured to receive a gating instruction from a pulse generator and generate a switch control signal; an array switch, the array switch being configured to establish multiple gating channels according to the switch control signal; an electrode array module, the electrode array module comprising multiple contacts, each contact being configured to deliver electrical stimulation to a tissue in a patient via the gating channels established by the array switch, or collect physiological signals from a tissue in a patient. The switch control signal is used to isolate the stimulation contacts from the collection contacts.

The invention discloses a multi-point electrode array system suitable for spinal cord time interference stimulation and a multi-target regulation and control method, the system comprises a flexible patch and a high-frequency stimulator, the flexible patch is provided with a plurality of electrode units distributed in a two-dimensional or three-dimensional matrix, the high-frequency stimulator is electrically connected with the electrode units, and the high-frequency stimulator is electrically connected with the flexible patch. A group of electrode channels are formed between the two electrode units, the high-frequency stimulator controls high-frequency current of each group of electrode channels, and a plurality of interference targets are constructed and formed among the plurality of groups of electrode channels at the same time. The flexible patch is attached to the spine to be detected, and the electrode units are located on the two sides of the spine; controlling high-frequency current of each electrode unit by using a high-frequency stimulator, and forming a plurality of groups of interfering electrode channels among the plurality of electrode units; subtracting the high-frequency current of the two interfered electrode channels to obtain a plurality of independent interference targets at the same time. The flexible patches are attached to the two sides of the spine to be detected, surgical treatment is not needed, and the treatment risk and cost are remarkably reduced.

The invention discloses a sleep aiding method and system based on brain wave data, and the method comprises the steps: synchronously collecting brain waves, electrocardiosignals, environmental noise and user voice data through a flexible electrode array, constructing a multi-mode causal graph, and dynamically recognizing the type of a noise source (electromagnetic interference or psychological noise); the method comprises the following steps of: generating a target antagonistic intervention signal (such as reverse sound wave counteracting electromagnetic noise and binaural rhythm relieving psychological pressure) according to the target antagonistic intervention signal, generating dynamically adaptive light pulse and tactile vibration parameters in combination with a psychological-physiological collaborative model, and synchronously outputting sound, light and tactile intervention signals through a multi-modal actuator. Through causal reasoning and multi-sensory cooperative regulation and control technologies, accurate inhibition of noise interference and personalized induction of the sleep state are realized, the sleep time is remarkably shortened, the deep sleep duration is prolonged, and the method is particularly suitable for complex noise environments and anxiety-related insomnia scenes.

The invention discloses a wafer cleaning liquid concentration dynamic monitoring system, and belongs to the technical field of semiconductor manufacturing. Aiming at the problems of large single parameter measurement error, poor equipment adaptability and frequent maintenance in the prior art, the invention provides a multi-physics field fusion detection scheme: acquiring ion concentration characteristics through a multi-frequency conductivity detection module (0.1 kHz to 10MHz), eliminating environmental interference in combination with a temperature-viscosity joint compensation module, and calculating the concentration of the ion in the multi-frequency conductivity detection module. An optical refractive index auxiliary verification module is used to realize cross verification, and a CNN-LSTM fusion model optimized by transfer learning is used to improve cross-device prediction precision. According to the innovativeness of the system, an anti-corrosion annular electrode array (titanium alloy iridium-plated) supports dynamic distance adjustment and pulse self-cleaning, an ultrasonic defoaming unit (1-3 MHz frequency self-adaption) restrains bubble interference, and a self-calibration module triggers online maintenance based on the conditions of the electrode impedance change rate (larger than or equal to 5%), temperature fluctuation and the like. Experiments show that the concentration measurement precision is improved to + / -0.5%, the HF / O3 rate ratio is controlled to be (1: 2.5 + / -0.3), the number of residual particles on the surface of the wafer is smaller than or equal to 5 per square inch, the service life of the electrode is prolonged to 8 months, and the yield is improved by 0.6%. The method is suitable for a wafer production line of 12 inches and above, and has the advantages of high precision, strong anti-interference and low maintenance cost.

The invention belongs to the field of flexible electronic devices, and particularly relates to a flexible electronic skin system based on a magnetorheological fluid microneedle structure. According to the system, a micro-needle array filled with magnetorheological fluid is constructed on a flexible substrate, and dynamic adjustment of local rigidity and deformation characteristics of the micro-needle array is achieved under the action of an external magnetic field; a sensing electrode array is integrated below or inside the microneedle array; the microneedle array deforms under the action of stress, the distance or contact state change between the microneedle array and the integrated sensing electrode array is converted into capacitance, resistance or impedance signals, multi-point distributed touch or pressure sensing is achieved, and real-time acquisition and output are completed through the sensing electrode array and the signal processing module. The magnetorheological fluid is encapsulated in the hollow microneedle array structure for the first time, an arrayed flexible arrangement form is constructed, dynamic reversible adjustment of the rigidity of the microneedle unit between a liquid state and a solid-like state under the action of an external magnetic field is achieved, and the micro-needle array structure is suitable for flexible wearable equipment and a bionic interaction interface.

The invention discloses a quasi-flow field method and high-density electrical method combined dam seepage path detection method, and belongs to the technical field of hydraulic engineering safety monitoring. Firstly, a quasi-flow field method is utilized, detection equipment is arranged in a to-be-detected dam seepage area, and the position of a dam seepage inlet is determined; then, a network parallel distributed leakage hidden danger detection system is utilized, based on a high-density electrical method, an inner dam face and outer dam face multi-dimensional wiring network is constructed through a pre-embedded electrode array, and the position of a leakage face in the dam is determined; and finally, inferring a seepage path by combining a quasi-flow field method and a detection result of the network parallel distributed leakage hidden danger detector. According to the method, the seepage inlet is accurately positioned through the quasi-flow field method, the high-density electrical method based on the network parallel distributed leakage hidden danger detection system is combined, the seepage surface distribution in the dam is analyzed, multi-dimensional data cross validation is achieved, the field working efficiency and detection precision of leakage hidden danger detection are improved, and a basis is provided for accurate judgment of a seepage path.