135 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 relates to the technical field of measurement of mechanical vibration or ultrasonic waves, water sound waves or infrasonic waves, in particular to a vibration liquid column hydrophone calibration device and method based on laser interferometry, and the device comprises a laser vibration meter, a hydrophone to be measured, a liquid column cavity for suspending the hydrophone to be measured, and a vibration table connected with the liquid column cavity. The to-be-measured hydrophone is detachably connected with an adjusting and positioning mechanism, the adjusting and positioning mechanism is connected with a laser vibration measuring instrument for executing vibration measurement, the adjusting and positioning mechanism and the laser vibration measuring instrument are introduced, the problem that accurate calibration of the low-frequency hydrophone cannot be achieved in the prior art is solved, and through sound field modeling calculation and correction, accurate calibration of the low-frequency hydrophone is achieved. The technical problem that the uncertainty and deviation of a hydrophone sensitivity calibration result caused by a non-uniform sound field cannot be effectively reduced in the prior art is 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.

The utility model discloses a control cabinet with a desinsectization function, and relates to the field of electrical engineering, in particular to the control cabinet with the desinsectization function, which comprises a top cross beam, upright posts, inclined struts and the like. The insect expelling lamp and the sound wave insect expelling device are used in a combined mode, insect invasion is effectively reduced, and internal electrical equipment is protected. The insect repelling lamp attracts and kills insects, and the sound wave insect repeller emits ultrasonic waves or infrasonic waves which interfere with the insects to repel the insects which are not sensitive to light. And secondly, the cooling fan is additionally arranged at the ventilation opening of the control cabinet, air circulation is greatly improved through forced convection, the internal temperature is effectively reduced, and electronic components are prevented from being overheated. And finally, normal operation in a low-temperature environment is ensured by using a heating pad, heat preservation or heat dissipation is adjusted according to the air temperature through the manual adjusting function of a shutter baffle, cold air invasion is avoided, the equipment stability is ensured, and the service life is prolonged.

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.

A method for stimulating hydrogen production from an injection formation. This method includes the steps of providing a well traversing a subsurface into an injection formation containing hydrocarbons. Carbon dioxide, water, steam, and combustion gas are introduced into the injection formation via the well. Further, the injection formation is stimulated using one or more of infrasonic, sonic, and ultrasonic stimulation. The injection formation is monitored via one or more sensors located in the injection formation to determine one or more properties of reactions in the injection formation and the flow back effluent. Flowback operations are conducted to retrieve flowback effluent.

The invention discloses an optical fiber acoustic wave comprehensive monitoring and detecting method and system, a plurality of optical cables and DAS optical fiber acoustic wave sensor equipment are arranged in a tunnel, ultrasonic waves and infrasonic waves are emitted in a tunnel environment through the DAS optical fiber acoustic wave sensor equipment, the ultrasonic waves are used for monitoring the outline of a tunnel wall, and the infrasonic waves are used for monitoring the infrasonic waves. The infrasonic waves are used for monitoring the geological variation condition outside the tunnel; various sound wave signals in a tunnel environment are sensed through the optical cable, the optical cable is caused to vibrate, the vibration signals are transmitted to the DAS optical fiber sound wave sensor equipment through the optical cable, and the vibration signals are transmitted to the cloud platform through the DAS optical fiber sound wave sensor equipment; received optical cable vibration signals are processed and analyzed through the cloud platform, and monitoring and abnormity alarming of the train running state, the tunnel wall contour and the geological change condition outside the tunnel are achieved; the optical cable is cheap, normal monitoring is not affected by foot kicking of people in the tunnel, and long-term and large-scale monitoring in the tunnel can be realized.

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 technical field of pipeline leakage detection, and discloses a novel infrasonic wave sensor suitable for pipe diameters below 100mm. The infrasonic wave sensor comprises an infrasonic wave sensing assembly, a wireless communication module and a control module, and pipeline leakage detection model selection parameters and pipeline leakage detection model updating parameters are extracted; selecting a target pipeline leakage detection model matched with the current pipeline diameter state of the target pipeline from the first comparison table, and matching model correction parameters corresponding to the target pipeline leakage detection model in the second comparison table, and updating the currently stored pipeline leakage detection model by using the target pipeline leakage detection model added with the model correction parameters so as to carry out pipeline leakage detection and alarm. Therefore, by comprehensively considering the environmental influence, the pipe diameter change caused by medium transportation wear and the influence of different pipeline flows on the pipeline leakage detection, the pipeline leakage detection accuracy of the infrasonic wave sensor in the scene with the pipe diameter smaller than 100 mm can be 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 discloses a low-frequency sound signal sending and receiving method and system, and the method comprises the steps: converting a sound signal transmitted by a to-be-detected device into a micro-vibration signal according to a preset vibration membrane; superposing a preset infrasonic wave signal into the micro-vibration signal to obtain a mixed signal; and optimizing and sending the mixed signal according to the current environment noise condition. Adjusting a signal receiving parameter according to the current environment noise condition; capturing a mixed signal in a preset detection range according to the signal receiving parameter; and restoring a sound signal sent by the to-be-detected equipment from the mixed signal. According to the application, the low-frequency sound signal emitted by the equipment is converted into the micro-vibration signal through the special vibration membrane, so that stable transmission of the low-frequency sound signal is realized.

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.

A method for stimulating hydrogen production (200) from an injection formation (102). This method includes the steps of providing a well system (106) traversing subsurface formations (104) into an injection formation (102) containing hydrocarbons. Carbon dioxide, water, steam, and combustion gas are introduced into the injection formation (102) via the well system (106). Further, the injection formation (102) is stimulated using one or more of infrasonic, sonic, and ultrasonic stimulation (225). The injection formation (102) is monitored (230) via one or more sensors located in the injection formation (102) to determine one or more properties of reactions in the injection formation (102) and the flow back effluent. Flowback operations (240) are conducted to retrieve flowback effluent.

The invention relates to the technical field of subway safe operation monitoring, and discloses a subway tunnel foreign matter invasion identification and positioning system and method, and the system comprises a detection unit, a photoelectric conversion module, a processor, and a transmission optical fiber. The subway tunnel internally comprises at least one running track, two columns of detection units are arranged above each track in the track direction, each column of detection units is provided with a plurality of infrasonic wave sensors, and all the infrasonic wave sensors are located at the same horizontal height. The infrasonic wave sensors in each column of detection units are distributed at equal intervals, and the infrasonic wave sensors in the two columns of detection units are distributed in a staggered manner; the infrasonic wave sensors on each column of detection units are connected in series through transmission optical fibers; the infrasonic wave sensors on each column of detection units are connected to a photoelectric conversion module through a transmission optical fiber; the photoelectric conversion module is connected with the processor. On the basis of ensuring high detection sensitivity and high accuracy, the equipment and the detection method are simplified, and the cost is reduced.

The invention discloses an infrasonic wave-based operation equipment monitoring method and system, and the method comprises the steps: obtaining the operation speed information of operation equipment in a pipeline in real time, and the operation equipment comprises a pipe cleaner and an inner detector which operate in the pipeline; encoding the running speed information to obtain a target infrasonic wave frequency; generating infrasonic waves based on the target infrasonic wave frequency, and emitting the infrasonic waves; receiving an infrasonic wave signal of the infrasonic wave propagating along the pipeline wall at a preset detection point on the outer wall of the pipeline; decoding the infrasonic wave signal to obtain decoding speed information; and obtaining the operation state of the operation equipment based on the decoding speed information so as to reflect the detection operation risk of the operation equipment. According to the method, the characteristic that the infrasonic waves are transmitted on the steel pipe wall is utilized, long-distance communication between the operation equipment in the pipeline and the equipment outside the pipeline is achieved, the operation speed of the operation equipment in the pipeline is obtained in real time, the detection efficiency in the pipeline is effectively improved, and the risks of pipe cleaning and internal detection work are reduced.

The invention provides an infrasonic wave training method and device for a pet, and the method is used for wearing an infrasonic wave generating device in a pet wear, and comprises the following steps: 1, transmitting a training signal to the pet wear, and controlling the infrasonic wave generating device to generate a corresponding infrasonic wave signal according to the training signal and the pet wear; 2, the pet wears to obtain the sign value of the pet, the sign value is compared with a pre-stored sign value or the change trend of the sign value is obtained, and the response of the pet to the infrasonic wave signal is obtained. The invention has the following beneficial effects: the device has no noise and does not stimulate pets; the condition of the pet learning instruction can be known at any time according to the change of the pet physical sign value, and the training efficiency of the pet is improved; the device is not only suitable for pets which can hear infrasonic waves, but also suitable for pets which cannot hear infrasonic waves.

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 invention provides a temperature-controllable rock shear creep experiment device and method and an instability failure prediction method. The temperature-controllable rock shearing creep experimental device comprises a shearing unit, a temperature control unit, a normal loading unit, a horizontal loading unit, a displacement sensor, an acoustic emission sensor and an infrasonic wave sensor. The temperature-controllable rock shear creep experimental device disclosed by the invention is simple in structure and convenient to operate; the device can be used for simulating rock shear creep experiments in different temperature environments; according to the device, the acoustic emission acquisition system and the infrasonic wave acquisition system are introduced at the same time, acoustic emission signals and infrasonic wave signals released by the sample in the shear creep process can be monitored in real time, and the shear creep instability failure process of the rock sample is predicted through the acoustic emission signals and / or the infrasonic wave signals. And the method has important significance for deeply researching the shear creep characteristics of the rock.

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 discloses a dummy system and method for detecting the injury effect of infrasonic waves on a human body. The dummy system comprises a dummy body and an infrasonic wave detecting, collecting and processing device. The dummy body comprises a head part, a neck part, a trunk part, an imitated heart and imitated lungs, the imitated heart and the imitated lungs are arranged in the trunk part, and the head part, the trunk part, the imitated heart and the imitated lungs are all made of acoustic metamaterials; the infrasonic wave detection and collection processing device comprises an acceleration sensor and a data acquisition module which are respectively arranged in the dummy body, and an infrasonic wave frequency test sensor and an infrasonic wave sound pressure intensity test sensor which are respectively arranged in the environment where the dummy body is located, and an upper computer, and the data acquisition module is electrically connected with the acceleration sensor; the upper computer is electrically connected with the data acquisition module, the infrasonic wave frequency test sensor and the infrasonic wave sound pressure intensity test sensor. The dummy system can simulate resonance and injury states in the human body under the influence of infrasonic waves.

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.