102 results about "Infrasonic waves" patented technology

The invention discloses an earthquake prediction method and system based on multi-physics coupling and quantum optimization, and relates to the technical field of earthquake prediction, and the method comprises the following steps: obtaining earth surface deformation observation data, geomagnetic observation data, gravity gradient data, and infrasonic wave monitoring data, and carrying out the preprocessing; performing multi-physics field coupling calculation on the preprocessed earth surface deformation observation data, geomagnetic observation data, gravity gradient data and infrasonic wave monitoring data; optimizing the fault network by adopting a D-Wave quantum annealing technology to find a lowest energy state to obtain a quantum optimization result; and generating an earthquake probability distribution diagram, an earthquake magnitude-time window table and a fault stress field three-dimensional model, thereby greatly expanding the breadth and depth of data, and remarkably improving the comprehensiveness of earthquake prediction.

The invention relates to the technical field of intelligent health, and discloses an intelligent health middle-aged and elderly people behavior data real-time monitoring and analysis method and system, and the method comprises the steps: collecting a biological resonance signal, a gas spectrum and a sound wave signal of middle-aged and elderly people; constructing a resonance characteristic spectrum of the middle-aged and elderly people, and analyzing physiological feedback characteristics of the middle-aged and elderly people by using the resonance characteristic spectrum; constructing an odor-behavior association map of the middle-aged and elderly people, and identifying gas feedback characteristics of the middle-aged and elderly people by using the odor-behavior association map; performing frequency domain decomposition on the sound wave signal to obtain an infrasonic frequency band and an ultrasonic frequency band, identifying internal organ vibration characteristics and body surface action characteristics of the middle-aged and elderly people, and analyzing voiceprint feedback characteristics of the middle-aged and elderly people; the physiological feedback features, the gas feedback features and the voiceprint feedback features are used for conducting behavior analysis on the middle-aged and elderly people, and a behavior monitoring report is obtained. The method can improve the reliability of behavior abnormality analysis of the elderly in smart health.

The invention relates to the technical field of sound monitoring, in particular to a wild animal sound detection system, method and device based on voiceprint recognition, and the system comprises a multi-mode sound collection module, a voiceprint feature extraction engine, an acoustic fingerprint database, a species recognition decision module and an ecological behavior analysis unit, the multi-mode sound acquisition module integrates an array microphone and an infrasonic wave sensor, and supports full-band environmental acoustic signal acquisition; the voiceprint feature extraction engine extracts animal voiceprint biological features by adopting a self-adaptive frequency band segmentation algorithm; the acoustic fingerprint database stores a multi-species acoustic feature template and an environment interference noise sample; the species identification decision module constructs a voiceprint classification model based on a deep residual network; and the ecological behavior analysis unit generates a wild animal activity mode report through the acoustic event space-time distribution map. Therefore, the problems of serious environmental noise interference, low individual feature discrimination, difficulty and insufficiency in small sample species identification and the like in the prior art are solved.

The invention discloses a residual capacity balance control method and system for an aged lithium battery, and relates to the technical field of new energy materials and devices, and the method comprises the steps: inputting quantum magnetic field response data and infrasonic wave signals into a single-chip microcomputer, carrying out the wavelet noise reduction and histogram equalization processing based on an STM32 single-chip microcomputer, and generating an acoustic-magnetic coupling feature matrix; inputting a dynamic pheromone equalization model based on the acoustic-magnetic coupling characteristic matrix, calculating a capacity difference coupling coefficient between the battery packs through an ant colony optimization algorithm, and generating a capacity redistribution path topological graph; according to the capacity redistribution path topological graph, the energy transfer direction is controlled through a bidirectional Buck-Boost circuit, and an equalizing current threshold value is dynamically adjusted based on the quantum spin resonance magnetic field gradient; according to the invention, the quantum magnetic field response data of the aged lithium battery pack and the infrasonic wave signal generated by electrolyte decomposition are collected, so that the physical and chemical states in the battery are accurately monitored.

The invention relates to the technical field of energy conservation and environmental protection, in particular to an industrial boiler combustion oscillation modal suppression system and a method thereof, and constructs a system which is highly intelligent, high in adaptability and remarkable in suppression effect by fusing innovative technologies such as multi-dimensional perception, intelligent identification, active suppression and adaptive optimization. The data acquisition module accurately captures hearth temperature, flame video and sound pressure signals; the signal processing module deeply analyzes and extracts oscillation modes of a temperature field and a flame area, and analyzes a sound pressure signal frequency spectrum through short-time Fourier transform; the mode identification module accurately identifies the combustion oscillation mode and determines the characteristic frequency and amplitude of the combustion oscillation mode; the suppression control module generates an infrasonic wave intervention signal to form an anti-phase sound field so as to effectively suppress oscillation; the fuel adjusting module adjusts the opening time sequence of the gas nozzle according to the instruction, and fuel supply is optimized. According to the system, the operation stability and heat efficiency of the boiler are remarkably improved, NOx emission is greatly reduced, and powerful technical support is provided for clean and efficient operation of the industrial boiler.

Acoustic resonator devices, filters, and methods are disclosed. An acoustic resonator includes a substrate and a lithium niobate (LN) plate having front and back surfaces and a thickness ts. The back surface is attached to a surface of the substrate. A portion of the LN plate forms a diaphragm spanning a cavity in the substrate. An interdigital transducer (IDT) is formed on the front surface of the LN plate with interleaved fingers of the IDT disposed on the diaphragm. The LN plate and the IDT are configured such that a radio frequency signal applied to the IDT excites a shear primary acoustic wave in the diaphragm. Euler angles of the LN plate are [0°, β, 0°], where 0≤β≤60°. A thickness of the interleaved fingers of the IDT is greater than or equal to 0.8 ts and less than or equal to 2.0 ts.

The invention discloses a debris flow infrasound recognition method based on a Mel spectrogram and a lightweight neural network, and belongs to the field of image data processing, and the method comprises the steps: collecting infrasonic wave signals generated by on-site debris flow and other events, and generating a Mel spectrogram data set; constructing a channel alignment fusion bridge; constructing an improved MBConv block; constructing a debris flow infrasound recognition network based on the channel alignment fusion bridge and the improved MBConv block; and training by using the Mel spectrogram data set to obtain a debris flow infrasound identification model, and identifying the infrasound signal to be identified. According to the method, the characteristics of debris flow infrasonic waves are combined, samples in the data set are constructed into the infrasonic mel spectrogram, the debris flow infrasonic recognition network is designed based on the multi-stage lightweight feature extraction module, the infrasonic mel spectrogram is classified and recognized, the calculation complexity can be effectively reduced, the parameter quantity can be reduced, low-power-consumption equipment can be adapted, and the method is suitable for popularization and application. The method can improve the classification accuracy, and is especially suitable for the real-time early warning scene of debris flow.

The invention discloses a multi-parameter fusion dangerous rock mass instability precursor identification method, which comprises the following steps: S1, generating a thermodynamic diagram of dangerous rock mass crack distribution, dividing each sub-region and setting each risk level; constructing a monitoring network; s2, performing time alignment and space alignment on the monitoring data; s3, the GNN model calculates and outputs each instability probability of each monitoring node; and S4, generating a global risk thermodynamic diagram according to each instability probability, and performing graded early warning based on a preset probability threshold. According to the method, the unmanned aerial vehicle thermodynamic diagram is used for guiding sensor optimization deployment, multi-dimensional data such as deformation, osmotic pressure, COs and infrasonic waves are fused, the model for identifying the instability of the dangerous rock mass is constructed by using the GNN model, accurate calculation and graded early warning of the instability probability are achieved, and the identification accuracy and early warning real-time performance are remarkably improved.

The invention relates to the field of ultrasonic sleep aiding, and provides an ultrasonic-infrasound coupled sound wave whole-brain sleep regulation and control method and device. The whole-brain sleep regulation and control method based on the ultrasound-infrasound coupling sound waves comprises the steps that electroencephalogram signals of a user are collected through electroencephalogram collection equipment; physiological parameters of the user are obtained through physiological state monitoring equipment; a control device is adopted to control and adjust the fundamental frequency, pulse width, pulse repetition frequency, difference frequency, intensity and other parameters of two columns of ultrasonic waves generated by a sound wave emission device according to the electroencephalogram signals and the physiological parameters; a sound wave emitting device is adopted to generate and emit two columns of ultrasonic waves which are close in frequency and face to face, the two columns of ultrasonic waves are fed into the brain face to face, and the two columns of ultrasonic signals inhibit the cerebral cortex activity when passing through the cerebral cortex; meanwhile, interference occurs in the deep brain target nuclear region, low-frequency infrasound beat frequency waves are formed, electroencephalogram slow wave rhythm resonance is induced, sleep-related neural activities of the deep brain target nuclear region are synchronized, and coordinated regulation and control of the whole brain region are achieved.

The invention relates to the technical field of oil and gas pipeline leakage detection, and discloses an infrasonic wave signal analysis method and system for oil and gas pipeline leakage detection. Basic data of the oil and gas pipeline and infrasonic wave original signal sample data when the oil and gas pipeline is free of leakage in a normal state are obtained, then the infrasonic wave signals are obtained through the infrasonic wave sensor, and the signal interference value is calculated based on the interference degree of the interference factors on the infrasonic wave signals. And performing feature extraction on the infrasonic wave signal to obtain sound wave feature data, calculating a similarity coefficient of the infrasonic wave signal and the infrasonic wave original signal, obtaining a non-interference judgment coefficient based on the constructed deviation prediction model, and judging and generating a leakage reminding signal according to a preset judgment threshold. According to the invention, the interference of meteorological interference factors, active interference factors and biological interference factors on the infrasonic wave signals can be eliminated, and the accuracy of oil and gas pipeline leakage detection by using the infrasonic wave signals is improved.

The invention discloses an oil well working fluid level measuring method, system and device based on infrasonic waves. The method comprises the following steps: acquiring an acquired mixed infrasonic wave pulse signal, and separating a tubing coupling reflection wave curve and an oil well liquid level reflection wave curve from the mixed infrasonic wave pulse signal; a gradient descent algorithm is adopted to find a multi-section waveform minimum value point on the tubing coupling reflection wave curve, and the propagation speed of the infrasonic wave pulse in the oil sleeve annulus is determined according to the sampling point time corresponding to the minimum value point and the length of the tubing coupling; based on the selected depth base point, reversely searching a first minimum value point on the oil well liquid level reflection wave curve by adopting a gradient descent algorithm, and determining the reflection time of the infrasonic wave pulse according to the sampling point time corresponding to the searched minimum value point; and the depth of the working fluid level of the oil well is determined according to the propagation speed of the infrasonic wave pulse in the oil sleeve annulus and the reflection time of the infrasonic wave pulse. The measuring efficiency, the measuring precision and the real-time performance of the working fluid level of the oil well can be improved.

The invention relates to the technical field of pipeline leakage monitoring, and discloses a pipeline infrasonic wave leakage monitoring system fused with an optical fiber sensor early warning technology, which comprises a central processing unit, and the data end of the central processing unit is connected with an external environment early warning unit, an internal leakage alarm unit, a positioning analysis unit, an interaction unit, a data acquisition and processing unit and a hierarchical management unit. The data collecting and processing unit is provided with an optical fiber vibration sensor and an infrasonic wave sensor along the pipeline, and the data collecting and processing unit outputs collected and preprocessed data to the central processing unit in real time. According to the system, the internal leakage alarm unit and the external environment early warning unit are arranged, a multi-source data fusion algorithm and distributed sensor layout can be utilized, comprehensive real-time monitoring of the pipeline is achieved, monitoring blind areas are avoided, tiny leakage and potential problems can be found in time, and safe operation of the pipeline is guaranteed.

The invention relates to the technical field of drainage pipeline detection, and discloses a drainage pipeline structural defect detection system and method, a medium and a product, a controller actively constructs and generates a coded infrasonic wave signal, and it is ensured that the signal has stable frequency and amplitude characteristics; the infrasonic sound production module performs infrasonic wave emission and processing by using a coded infrasonic wave signal, and enables a low-frequency mechanical vibration signal to be stably propagated along a pipe wall, so that energy attenuation is reduced, and a long-distance pipe section which is difficult to touch in traditional passive detection is covered; the infrasound signal receiving module is used for detecting low-frequency mechanical vibration signals and converting analog signals into initial digital signals, and interference and distortion in the transmission process are reduced. Furthermore, by combining a Fourier transform method and a correlation coefficient analysis method, the problem of high misjudgment rate of a traditional single algorithm is avoided, accurate recognition of the structural defects of the pipeline is ensured, and the requirement for accuracy of structural defect detection of the drainage pipeline under complex working conditions is met.

The invention relates to a pneumatic membrane structure fluid-structure interaction multi-physics field synchronous test method, which relates to the technical field of vibration measurement, and comprises the following steps: conformally embedding a flexible capacitive sensor array in the surface of a pneumatic membrane structure, detecting mechanical vibration, ultrasonic wave, sound wave or infrasonic wave displacement through capacitance value change (electrical characteristics), and measuring the displacement of the flexible capacitive sensor array; and the capacitance value change rate delta C / C and the displacement delta x are in a linear proportional relationship. According to the pneumatic membrane structure fluid-solid coupling multi-physics field synchronous test method, a flexible capacitive sensor array is conformally embedded in the surface of a pneumatic membrane structure, and mechanical vibration, ultrasonic wave, sound wave or infrasonic wave displacement is directly detected by using capacitance value changes; wherein the linear proportional relation between the capacitance value change rate delta C / C and the displacement delta x is directly determined by the electrode distance and the dielectric constant of the capacitive sensor, so that the physical directness of vibration wave measurement is realized, the error caused by indirect calculation depending on a traditional strain gauge or an optical method is avoided, and the vibration wave displacement measurement precision is remarkably improved to + / -0.5% full scale.

A geological disaster landslide early warning and protection method disclosed by the present invention comprises a landslide early warning system, the landslide early warning system comprises a monitoring module, a data acquisition end and a landslide early warning end, and the monitoring module comprises a pore water pressure sensor, a surface displacement sensor, a moisture content sensor, a rainfall sensor and an infrasonic wave sensor. Each of the data acquisition end and the landslide early warning end comprises an STM32F103 microprocessor, a wireless radio frequency, an SWD, a storage module, a power supply, a clock, a reset and a pulse interface, and the data acquisition end is connected with the landslide early warning end through the wireless radio frequency. And monitoring data is transmitted through wireless radio frequency and is remotely transmitted to an early warning command control center in a GPRS (General Packet Radio Service) mode, so that the cost is low and the advantages are obvious.

The present application relates to the technical field of pipeline leakage, in particular to a pipeline leakage aperture identification method based on APSO-HMM. The method comprises: constructing multiple training sets, each corresponding to a pipeline leakage aperture; inputting each training set into an HMM model for training iteration, and using APSO algorithm to optimize the initial value of the observation value under each state, i.e. the initial value of B, in the training process; bringing the optimal initial value obtained by the APSO algorithm into the HMM model, and using the Baum-Welch algorithm to iteratively calculate the HMM model to obtain the trained APSO-HMM model; extracting the feature vector T of the infrasound wave original signal leakage signal x(t) to be identified, inputting the feature vector T into each trained APSO-HMM model respectively, and outputting the pipeline leakage aperture corresponding to the APSO-HMM model with the maximum log-likelihood probability as the identification result. The present application can avoid improper selection of the initial value of the model, thereby improving the identification effect of the pipeline leakage aperture.

The invention relates to the technical field of drainage pipe network management, and discloses a method and a device for checking hidden connection of branch pipes of a drainage pipe network based on active voiceprint conduction, and the method comprises the steps: receiving an infrasonic wave signal transmitted by an infrasonic wave source generator to a target pipe section of the drainage pipe network through an infrasonic wave sensor, and transmitting the infrasonic wave signal to an analyzer; and analyzing the infrasonic wave signals through an analyzer to obtain a checking result of the hidden connection of the branch pipes of the drainage pipe network. According to the invention, low-cost and high-efficiency troubleshooting of the branch pipe concealed connection problem is realized.

The utility model relates to the technical field of measurement and testing, in particular to metering equipment which is characterized by adopting infrasonic wave, acoustic wave and ultrasonic vibration. According to the technical scheme, the cable winding anomaly detection device based on ultrasonic ranging comprises a switch assembly and ultrasonic detection devices, the ultrasonic detection devices are located at the two ends of a cable reel in the running direction, and each ultrasonic detection device comprises an ultrasonic sensor and a driving mechanism; the driving mechanism drives the ultrasonic sensor to rotate through the rotating holder mechanism, and the switch assembly comprises a pressure switch and an over-loose and over-tight limiting switch. The problems of complex structure, low accuracy and slow response speed in the prior art are solved, and the purposes of high accuracy, good reliability, long service life, low cost and multiple protection mechanisms are achieved.

The present invention proposes a detector and a measurement method for detecting leaks in a confined space using infrasonic technology. The detector for detecting leaks in a confined space using infrasonic technology includes a gas leak detector and a closed container leak detector; the closed container leak detector is arranged in the confined space to be detected. The measurement method includes: placing the closed container leak detector in the closed container to be detected; the infrasonic generator of the closed container leak detector generates infrasonic waves to detect the target area, and the infrasonic waves generated by the infrasonic generator are detected by a receiving probe; headphones are used to receive the friction sound between the gas molecules detected by the gas leak detection module and the outlet of the damaged closed container, and the leak position is located based on the principle of linear propagation of infrasonic waves to obtain the gas leak position.

1. The name of the present design product: infrasonic stress monitoring instrument (BMEDCTOMISSMS). 2. The use of the present design product: equipment for monitoring the stress and strain generated by materials or structures under stress. 3. The design points of the present design product: in the combination of its overall shape and color. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The design claimed contains color.

The present application relates to the technical field of energy supply, and particularly relates to a comprehensive energy substation supply method and device and a storage medium, the method comprising: collecting environmental parameters, geological parameters and energy demand of underground space; constructing an environmental risk factor based on collected environmental temperature, environmental humidity, carbon dioxide concentration and methane concentration in a monitoring period, constructing a geological factor based on collected rock stratum micro-vibration frequency, water seepage rate and rock stratum displacement in the monitoring period, and determining an underground space risk index by combining the environmental factor and the geological factor; determining an energy supply coefficient based on the underground space risk index in the monitoring period, and generating an energy supply strategy by combining the energy demand in the next monitoring period; determining an update factor; and updating the energy supply strategy based on the subsonic wave harmonic proportion, lichen conductivity and the update factor collected in the monitoring period. The present application effectively improves the energy supply efficiency of the comprehensive energy substation.

The embodiment of the application provides a novel capacitive infrasound sensor and an infrasound detection method, and belongs to the technical field of pipeline leakage detection. The novel capacitive infrasound sensor is characterized in that the novel capacitive infrasound sensor comprises: a detection cavity, which is connected with a pipeline to be detected through an acoustic sampling channel and is used for sensing infrasonic pressure pulsation caused by pipeline leakage; a reference cavity, which is connected with an external environment through a micropore array to form a pressure relief path with a preset time constant and is used for providing a stable reference pressure in a low frequency band; a capacitive sensing unit located between the detection cavity and the reference cavity, which is used for converting a differential pressure change between the detection cavity and the reference cavity into an electric signal; and a chopping demodulation circuit connected with the capacitive sensing unit, which is used for inhibiting low-frequency noise and DC drift in a demodulation process and obtaining a stable infrasound signal output. The scheme of the application realizes high-fidelity introduction of an infrasound signal for pipeline leakage detection while ensuring safety and reliability.

The utility model discloses a multifunctional dog repelling device which comprises a shell, an ultrasonic wave generating assembly, a lighting assembly, a key assembly and a battery, and the ultrasonic wave generating assembly and the lighting assembly are installed at the two ends of the shell respectively. The key assembly is installed on the shell and located between the ultrasonic generation assembly and the lighting assembly, the key assembly comprises a first circuit board, an ultrasonic control unit and a lighting control unit, and the ultrasonic control unit and the lighting control unit are electrically connected with the first circuit board; the ultrasonic control unit is electrically connected with the ultrasonic generation assembly through the first circuit board, and the lighting control unit is electrically connected with the lighting assembly through the first circuit board; the ultrasonic generating assembly can emit ultrasonic waves or infrasonic waves to expel dog pets, meanwhile, the lighting assembly can be used as a flashlight, the functions of the dog expelling device are more diversified, and the multi-aspect requirements of a user are met.

A pipeline infrasonic wave leakage monitoring system disclosed by the present invention comprises first positioning plates and second positioning plates, the first positioning plates and the second positioning plates are symmetrically arranged in one group and are arranged in multiple groups, extension plates are arranged at the two ends of each second positioning plate, a data transmission assembly is arranged at the top of each first positioning plate, and a data transmission assembly is arranged at the top of each second positioning plate. An extending rod is arranged at the bottom of the first positioning plate in a threaded mode, and a data acquisition end is arranged at one end of the bottom of the extending rod. According to the invention, the data acquisition end is installed in the pipeline through the deep rod, and the sonic sensor at the data acquisition end can be accurately positioned and locked, so that the data acquisition end is prevented from falling off due to contact with liquid or other impurities in a long-time monitoring process, and long-time monitoring can be carried out; and signals of the corresponding sonic sensors are fed back through the corresponding data transmission assemblies, so that the leakage position can be determined more accurately when leakage occurs, and subsequent pipeline maintenance is facilitated.

The utility model discloses a shelter system for bearing and deploying infrasonic wave special equipment, which comprises a vehicle body and a shelter, and the vehicle body is provided with a traction vehicle head and a bearing platform; the square cabin is formed by assembling and combining a top plate and a plurality of side plates in a surrounding mode and installed on the bearing platform, a horn containing area and an infrasound equipment area are arranged in the square cabin, a bearing tray is arranged in the horn containing area, an infrasound equipment assembly is installed in the infrasound equipment area, and the horn containing area is connected with the bearing tray. The device comprises a control cabinet, a gas storage tank, a gas inlet hose, an infrasound production modulator, an acoustic horn and a support which are connected in sequence, and the acoustic horn is fixedly placed on the support. The square cabin is compact in structure, reliable in performance, convenient to operate, scientific and reasonable in function partition layout in the square cabin, practical and firm and safe in equipment installation.

The invention relates to an audio recognition method and device, computer equipment, a storage medium and a program product, and relates to the technical field of audio recognition. The method is executed by computer equipment and comprises the steps that audio identification information of an audio file is obtained, the audio identification information is information obtained after a target frequency band in the audio file is converted, and the target frequency band comprises at least one of an ultrasonic frequency band and an infrasonic wave frequency band; based on the audio identification information, executing an identification operation on the audio file to obtain an identification result; specification processing is performed based on the recognition result. According to the audio recognition scheme, the audio recognition accuracy can be improved on the basis of ensuring the concealment and security of the watermark information of the audio file.

The invention provides a gas pipeline leakage detection method and device based on infrasonic waves and an AI model, and relates to the technical field of gas pipeline detection. The method comprises the following steps: step 1, collecting leakage signals through continuous infrasonic waves; step 2, signal preprocessing; step 3, sound wave noise elimination is carried out and leakage signal characteristics are obtained; 4, processing and analyzing the signal features through an AI model; and step 5, obtaining a leakage identification condition. According to the method, the limitation that signals need to be monitored in real time in a traditional method is effectively solved, leakage study and judgment can be conducted through model matching recognition even if abrupt change signals are missed, and the method has the advantages of being high in accuracy, low in false alarm rate, low in missing report rate, measurable at any time and the like.

A non-lethal electronic defense device comprising one or more effects such as light, sonic, ultrasonic, infrasonic, chemical, electrical, or mechanical devices capable of causing intense sensations of disorientation, distress, incapacitation, and / or pain for the purpose of protecting a public or private space from an intruder or attacker exhibiting an intent to cause harm to physical inhabitants or destruction of property therein.

The present invention relates to an infrasound receiving alarm device, comprising a receiving terminal, earphones, and connecting wires, wherein the earphones are electrically connected to the receiving terminal through the connecting wires, and the receiving terminal comprises a bearing shell, a connecting slide rail, a connecting buckle, a driving power supply, a wireless communication antenna, a capacitive infrasound sensor, a control interface, a power connection port, an earphone interface, and a driving circuit. Its use method comprises three steps, namely, equipment assembly, early warning operation, and remote communication. On the one hand, the system structure of the present invention is simple, and it is flexible and convenient to carry and use, has good versatility, a high degree of integration, and strong environmental adaptability; on the other hand, the communication signal has the characteristics of low frequency, easy penetration, low attenuation, and not easy to be absorbed, thereby effectively overcoming the influence of the complex on-site environment on the communication signal, and realizing the early discovery of safety hazards in the surrounding large-scale environment and the safety warning of the staff, thereby greatly improving the safety and reliability of work construction.

The embodiment of the application provides a kind of equipment abnormality detection method and system based on infrasonic wave data, belong to equipment state detection technical technical field.The method comprises: collecting infrasonic wave signal and corresponding medium characteristic parameter in the running process of target equipment, establish the medium propagation characteristic table for representing signal propagation path;Based on the medium propagation characteristic table, construct propagation correction model, execute distortion correction to infrasonic wave signal, output correction signal;Based on correction signal, extract time-varying characteristic parameter and construct time-varying characteristic matrix, calculate characteristic drift rate and input drift determination model;Based on drift determination model, execute environment normalization and covariance drift analysis, when drift rate exceeds preset threshold, output equipment abnormality determination result.The present application scheme realizes the distortion correction of infrasonic wave signal in complex propagation medium and multi-feature covariance drift identification, so as to accurately locate equipment abnormal position under environmental interference and determine abnormal type.