123 results about "Acoustic sensor" patented technology

The utility model discloses an active acoustic sensor for an engine exhaust pipe, and particularly relates to the technical field of active noise reduction of exhaust pipes, the active acoustic sensor comprises an air inlet pipe, a positioning mounting plate, a sensor mounting joint and a sound acquisition module shell; the positioning mounting plate is obliquely fixed to the pipe wall of the air inlet pipe, and the air inlet pipe is fixedly connected with the exhaust pipe in a sealed mode through the positioning mounting plate. The sensor mounting connector is fixedly mounted at the end, away from the positioning mounting plate, of the air inlet pipe. The sound collection module shell is provided with a sound source channel, the sensor installation connector is detachably connected with the sound collection module shell, and the sound source channel is correspondingly arranged below the air inlet pipe. When the active acoustic sensor is used, the influence of high temperature on noise collection can be reduced.

A protective assembly arranged around an acoustic sensor may include: a housing extending from an outer top to a base and forming a dome shape, the housing defining at least one perforation to allow air to flow through; and an inner housing extending from an inner top to the base inside the housing, the inner housing forming a channel between the housing, the inner housing, and the base to receive airflow at the at least one perforation, wherein the at least one perforation and the channel redirect the air to protect a microphone arranged within the inner housing from external airflow and to maintain the integrity of sound pressure measurements.

This application provides an ultrasonic sensor, its manufacturing method, and an ultrasonic testing device. The ultrasonic sensor includes a piezoelectric unit, a first contact electrode, a second contact electrode, a first bent wire, a first external structure, a second bent wire, a second external structure, and a flexible encapsulation. The first contact electrode is connected to a first surface of the corresponding piezoelectric unit, and the second contact electrode is connected to a second surface of the corresponding piezoelectric unit. The flexible encapsulation covers the piezoelectric unit, the first contact electrode, and the second contact electrode. The first contact electrode is electrically connected to the first external structure via the first bent wire, with at least a portion of the first external structure exposed within the flexible encapsulation. The second contact electrode is electrically connected to the second external structure via the second bent wire, with at least a portion of the second external structure exposed within the flexible encapsulation. This design allows for greater flexibility in the ultrasonic sensor, facilitating wider application scenarios.

This application discloses a method, apparatus, device, and medium for self-calibration of an ultrasonic sensor for transformers. The method involves obtaining the spatial distance by using the time difference and measured sound velocity of the same partial discharge pulse received by a built-in UHF antenna and an external ultrasonic sensor; constructing a cross-medium model based on the acoustic parameters of the insulating oil and the tank to calculate the sound pressure transmission coefficient at the liquid-solid interface; constructing a spherical wave dissipation equation in viscous oil by combining discharge and fluid parameters, and calculating the theoretical sound pressure of the outer shell using the distance and transmission coefficient; comparing the measured peak output voltage of the external sensor with the in-situ acoustic-electric conversion sensitivity for online self-calibration. This method reconstructs a high-fidelity sound wave propagation attenuation model, which can improve calibration accuracy and diagnostic reliability.

The present invention relates to a sensor device for attachment to an equipment shell, the device comprising a casing (1) configured for attachment to an equipment shell by means of a fastening system comprising a bushing (4) with a cylindrical part internal to the casing and a flange part (4a) configured to contact the equipment shell when the device is attached to it, the casing (1) housing a plurality of sensors for measuring data related to the operating condition of the equipment, at least one processor configured to receive the data measured by the sensors; and at least one means of wireless communication for communication with a server remote to the device, in which the casing (1) comprises a casing body (2), which receives, at one end, a printed circuit board (11) which receives an acoustic sensor (12) for structural noise measurement, the printed circuit board (11) being in contact with the flange part (4a) of the bushing (4).

This invention relates to a screening and crushing system for waste catalysts in residual oil, belonging to the field of screening equipment technology. It integrates intelligent metering and feeding, grading and screening, closed-loop crushing, high-efficiency stirring output, and centralized control and environmental purification units. Through a closed-loop process of "screening-crushing-re-screening," it ensures that the finished product particle size meets standards. The core innovation lies in installing pressure and acoustic sensors on the conveyor belt of the vibrating screen's discharge section. Real-time quantitative monitoring of the screen clogging rate is achieved by cross-validating the impact dynamics spectrum of the discharge material with the acoustic characteristic modes. The entire system adopts an explosion-proof design and is equipped with an emergency feeding port and a flue gas treatment system. This invention has advantages such as high automation, accurate metering, real-time diagnosis of screen status, safety and environmental protection, and strong production continuity.

The application discloses a valve micro-leakage detection method and device based on acoustic response analysis. The method comprises the following steps: applying an active acoustic excitation signal to a valve in a sealed state; synchronously collecting acoustic wave response signals generated by excitation through multiple acoustic sensors; extracting acoustic characteristic parameters such as amplitude variation, phase variation and spectral energy; comparing with a no-leakage reference sound field model to determine micro-leakage. The leakage source is located by using a beam forming algorithm, and a characteristic vector composed of amplitude variation, phase variation, spectral energy, MFCC and kurtosis is constructed, which is input into a convolutional neural network model to identify leakage causes such as sealing surface wear, sealing pad damage or micro-cracks. The detection system of the application comprises an excitation control module, a collection module, a processing module and a judgment module. The method does not require a water bath, has high sensitivity and is suitable for automatic production detection.

The utility model discloses a water leakage detection device for water supply pipe, including storage box, the detection frame is fixed to storage box upper end, the detection frame upper end middle part is installed with detection box, installs the rotating ring in the detection box. Advantageous effects lie in: the utility model discloses a set of rotating mechanism that is composed of servo motor, rotating ring, tooth block and drive gear is set up, since the detection mechanism such as acoustic sensor is installed on the inner wall of rotating ring, in the air tightness detection process to water supply pipe, the water supply pipe after pressurization is passed through rotating ring and makes it move, in the moving process, servo motor drives drive gear to rotate, and drive gear rotates the rotating ring through tooth block, and then drives acoustic sensor to rotate around the outside of water supply pipe, changes the detection position of acoustic sensor, and moves simultaneously with the water supply pipe, can detect the water supply pipe comprehensively, guarantees the detection accuracy of acoustic sensor, improves its detection effect, and has higher use performance.

The application provides a convex optimization target positioning method for quantifying AOA, obtains original AOA measurements between sensor nodes in a sensor network, calculates Taylor series approximation processing arctangent function, quantizes original AOA measurement values, sends the quantized AOA measurement values to a fusion center after transmission through a non-ideal channel, transforms a target function into a convex function by using semi-positive relaxation, transforms and relaxes constraint conditions, transforms the problem into a convex problem, solves the convex optimization problem, and obtains an estimated value of a target position. The AOA measurement adopted by the application can still obtain the estimated value of the target position relatively accurately in a water acoustic sensor network positioning system with limited resources and limited energy, the convex optimization method is used to solve the target positioning problem, can converge to a global optimal solution and does not depend on the selection of an initial point, and has strong practicability and high accuracy.

A method in which an acoustic sensor disposed in a polishing apparatus can be accurately calibrated is disclosed. In this method, polishing sounds of a substrate are acquired using an acoustic sensor; and then at least two distinctive sounds, having distinctive frequencies respectively, are selected from the acquired polishing sounds. Further, the at least two distinctive sounds are output from a sound source coupled to any of a polishing table, the acoustic sensor, and a substrate holder to cause the at least two distinctive sounds to be input to the acoustic sensor. Next, output values of the acoustic sensor are calibrated, such that the output values of the acoustic sensor relative to the at least two distinctive sounds come within an allowable range.

An in-ear device (IED) of a wearable system captures audio data from within the ear canal of a user indicative of the user's heartbeat. The IED when worn occludes the user's ear canal, causing amplification of low frequency sounds due to the occlusion effect, and improving the ability of the acoustic sensor to detect the user's heartbeat sounds. The wearable system classifies the audio data to identify portions of the audio data corresponding to a first heart sound and a second heart sound, which correspond to different portions of the heartbeat of the user. The wearable system estimates a blood pressure level of the user based upon the identified heart sounds.

The present application belongs to the technical field of distributed speech enhancement, and particularly relates to a distributed speech enhancement system based on maximum likelihood. In order to expand the diversity of speech enhancement technology in WASN and complete good noise elimination performance, the system comprises a discrete Fourier transform module, a speech activity detection module, a steering vector estimation module, a data compression module, a result output module, a signal construction module, a weighted correlation matrix estimation module, a filter update module, and a discrete inverse Fourier transform module. The present application is a distributed speech enhancement technology which can be applied to a wireless acoustic sensor network without a data processing center. The technology estimates a weighted correlation matrix through a local signal constructed by a node and a variance of an output result, and updates a filter by combining the estimated weighted correlation matrix with a constructed local steering vector, so as to complete distributed speech enhancement.

The application discloses a kind of material aerodynamic acoustic performance online testing method and system, it is related to wind tunnel aerodynamic acoustic performance test field, the application is set in wind tunnel sound-transparent solid wall test section, to be measured acoustic material is installed in its middle part;First, second acoustic sensor is sequentially arranged on the wall surface upstream of material, third, fourth acoustic sensor is sequentially arranged on the wall surface downstream;Respectively collect the sound pressure data of four acoustic sensors under the running state and static state of wind tunnel;Transfer matrix equation set is constructed, and the sound pressure data of running state and static state are substituted into equation set and simultaneously solved, to obtain sound pressure transfer function;According to sound pressure transfer function, the noise reduction of material under current airflow environment is calculated.The application realizes online testing by the synergistic effect of sound-transparent solid wall, four sensor arrangement, double-state acquisition and simultaneous solution of transfer matrix, effectively eliminates wall reflection and wind tunnel background noise interference while testing, and the test result is accurate and reliable.

The present invention relates to apparatus for measuring physiological parameters in a blood vessel. The apparatus comprises at least one acoustic sensor positionable on a part of a subject's body which is configured to receive an acoustic signal from a target blood vessel. The acoustic sensor is attached to the part of the subject's body by an attachment means.

The application discloses a residual stress detection method based on chirp electromagnetic surface acoustic wave. Although the existing variable interval coil structure can expand the working frequency band of the sensor, the excitation ability of the low frequency component is limited, and it is difficult to meet the stress detection requirements of large thickness components. The electromagnetic acoustic sensor structure is designed, the width of the coil is continuously changed along the ultrasonic surface wave propagation direction, the wide frequency excitation of the chirp surface wave signal is realized, especially the excitation and propagation effect of the low frequency component is enhanced, so that the signal-to-noise ratio and detection accuracy after the signal matched filtering are significantly improved. The sensor utilizes the characteristics that the penetration depth of the ultrasonic surface wave changes with the frequency, realizes the layered detection of the multi-level residual stress in the material through the chirp signal, can cover multiple frequency ranges to adapt to components with different thicknesses, thereby avoiding the problem that the traditional fixed frequency or variable interval sensor needs to be frequently replaced. The method has high detection accuracy, wide detection range and high detection efficiency, and is suitable for nondestructive residual stress evaluation of metal components and engineering structure health monitoring.

The application discloses a kind of ultrasonic sensor array addressing excitation method and circuit, this method is controlled by being controlled to the element in sensor array, then the excitation of the gated element is realized.The addressing excitation method and circuit in the application are mainly used for the ultrasonic sensor array of row-column electrode collinear, each element in sensor array is bidirectional transceiving mode of operation.Element (i,j) is first electrically gated to row and column corresponding to addressing excitation, after element gating, excitation electric pulse is acted on element by circuit loop to generate ultrasonic wave.Addressing excitation circuit mainly includes row, column gating control circuit and excitation electric pulse generation circuit.Element signal connection complexity in sensor array is reduced from traditional N×M to N+M.The application is suitable for row-column addressing ultrasonic sensor array excitation system, and circuit scale is far lower than traditional ultrasonic sensor array excitation circuit, and excitation element gating and excitation are flexible and controllable.

The application relates to the technical field of submarine pipeline investigation, and discloses a submarine pipeline acoustic-optical combined investigation method, system, device and medium. An AUV carrying an acoustic sensor is used to carry out coverage investigation on a task area, acoustic data are collected, and acoustic characteristics of an object to be investigated are extracted, a suspected pipeline candidate area is generated based on echo intensity in the acoustic characteristics and a preset acoustic detection threshold; an AUV carrying an optical imaging device is used to carry out fine imaging on the suspected pipeline candidate area, optical data are collected, and optical characteristics of the object to be investigated are extracted, clustering analysis is carried out based on the optical characteristics to obtain a clustering result containing a suspected target cluster, a noise cluster and an uncertain cluster; and a multi-modal information fusion method is used to jointly judge the object to be investigated according to the acoustic characteristics and the optical characteristics of the suspected target cluster. The wide-area coverage advantage of the acoustic and the high-resolution advantage of the optical are fused, and efficient, accurate and reliable investigation of the submarine pipeline is realized.

This invention discloses an AI-based large-scale model-based drone countermeasure system and method, including the following steps: detecting suspicious targets by monitoring the airspace with millimeter-wave radar; identifying and locating suspicious targets using a visual detection device, collecting signal information of suspicious targets using an radio frequency module, and collecting noise information of suspicious targets using an acoustic sensor; determining whether the suspicious target is a drone based on the image information identified by the visual detection device, the signal information collected by the radio frequency module, and the noise information collected by the acoustic sensor; if so, collecting the three-dimensional trajectory of the drone; obtaining the threat level of the drone based on the three-dimensional trajectory of the drone and the environmental information in which the drone is located; and taking corresponding countermeasures to counter the drone based on the threat level. By fusing four-dimensional data (radar, vision, radio frequency, and acoustic signature) and combining it with deep reasoning using an AI large-scale model, the ability to distinguish between disguised drones and jamming objects is significantly improved.

A non-intrusive sensing system for monitoring an electrochemical device and a method of operating the non-intrusive sensing system can include multi-static ultrasonic sensors for detecting data indicative of a property of electrolytic media in an electrochemical device, an acoustic sensor for detecting and measuring a signature of electrodes associated with a health condition of the electrochemical device. A temperature sensor can be used to detect surface temperature data and correlate the surface temperature data with the signature identified and extracted by the acoustic sensor and the data indicative of the property of the electrolytic media. The data detected by the multi-static ultrasonic sensors, the signature detected by the acoustic sensor, and the surface temperature data identified can be subject to feature extraction and processing by a detection and prediction model to produce information pertaining to the safety, reliability and operating efficiency of the electrochemical device.

The computer-implemented method for identifying thermal runaway events in a battery module, where multiple battery modules collectively form a Battery Energy Storage System (BESS). The method includes receiving an acoustic signal from at least one acoustic sensor positioned within the BESS. A thermal runaway event is identified if there is a sudden increase in battery noise detected in the received acoustic signal.

This wire break detection device (20) in at least one cable (10) of a civil engineering structure comprises: – a set of acoustic sensors (14a) intended to be fixed on a cable (10) or on anchor points (11, 12) of the cable (10) so as to receive an acoustic wave when a wire or strand of the cable (10) breaks; the acoustic sensors (14a) being capable of capturing this acoustic wave; and – an analysis unit (17) capable of receiving detection information of said acoustic wave by the acoustic sensors (14a) and of locating a wire break in the cable (10) according to the locations of the acoustic sensors (14a) which detected the acoustic wave.The acoustic sensors (14a) are grouped into clusters (16a), each cluster (16a) comprising a monitoring unit (15) equipped with: – a signal acquisition card for the signals from the acoustic sensors (14a); – a memory (18) for recording and time-stamping the signals from the acoustic sensors (14a) for a predetermined period before and after exceeding an acoustic vibration threshold; and – means for transmitting the recorded signals to the analysis unit (17); the analysis unit (17) being capable of receiving all the signals recorded by the different monitoring units (15) of the same cable (10) and of characterizing and locating a wire break based on the shape of the signals. Figure for the abbreviation: Fig 1.

The present application relates to the technical field of battery cooling, and discloses an adaptive dual-mode immersed liquid cooling system based on acoustic-heat flow collaborative sensing. The system comprises an acoustic sensor, a temperature sensor, a fuzzy controller, a multi-channel controller, a pump, a cooling coil, a radiator and a water tank. The system can perform single phase change cooling operation in a low rate mode and flow phase change collaborative cooling operation in a high rate mode, and mode switching decisions are made based on frequency domain changes of acoustic characteristics and calculated values of heat flow density. The acoustic sensor collects boiling acoustic wave signals of the cooling liquid, the temperature sensor monitors the battery temperature gradient, the fuzzy controller generates control instructions based on the above signals, and the multi-channel controller controls the pump power, the cooling coil flow and the radiator power. Through collaborative sensing and dual-mode adaptive adjustment, the system improves the cooling efficiency and response speed, adapts to different battery load states, and ensures the safe and stable operation of the battery.

The present invention relates to the technical field of transformers. Disclosed is a method for detecting acoustic anomalies of a transformer, the method comprising: collecting acoustic signals during operation of a transformer by using a plurality of high-sensitivity acoustic sensors; preprocessing the collected acoustic signals; extracting time-domain features, spectral features and deep features of the acoustic signals; performing fusion on the time-domain features, frequency-domain features and deep-learning features to form a composite feature vector; and constructing an anomaly detection model by using a support vector mechanism, and introducing an attention mechanism into the model. The method for detecting acoustic anomalies of a transformer ensures the high resolution and high signal-to-noise ratio of acoustic signals by means of a multi-sensor layout and a high-sensitivity MEMS microphone. The multi-sensor arrangement can cover different positions of the transformer, thereby more comprehensively capturing the operating state of the transformer. The extracted time-domain features and spectral features describe characteristics of the acoustic signals from different perspectives.

The application relates to the technical field of semiconductor devices, and discloses a vertical structure GaN acoustic sensor and a preparation method thereof. The GaN acoustic sensor comprises a substrate, a bottom electrode, a piezoelectric layer and a top electrode which are sequentially arranged on one side of the substrate; the substrate has a cavity; the bottom electrode, the piezoelectric layer and the top electrode jointly form a suspended multilayer composite film and completely cover the cavity; and the piezoelectric layer is a GaN film which is peeled off from a preset substrate by an electrochemical peeling technology and is transferred to the substrate. The electrochemical peeling technology of the GaN epitaxial film is combined with the design of the vertical structure micro-electro-mechanical system acoustic sensor, ideal transduction materials are provided for high-performance acoustic detection, a solid foundation is laid for the high consistency and stability of the device, and the conversion efficiency and receiving sensitivity of the acoustic signal are greatly improved.

Some disclosed methods involve capturing a first ultrasonic signal corresponding to a reflection from a cover / air interface of a device including an ultrasonic sensor system, and determining one or more first ultrasonic signal parameters of the first ultrasonic signal. Some methods involve capturing a second ultrasonic signal corresponding to a reflection from a cover / target interface, and determining one or more second ultrasonic signal parameters of the second ultrasonic signal. Some methods involve estimating the temperature of a target object based at least in part on one or more first ultrasonic signal parameters, one or more second ultrasonic signal parameters, and the temperature of the ultrasonic sensor system. Some disclosed methods involve receiving ultrasonic sensor system temperature data indicating the temperature of the ultrasonic sensor system and calibrating the ultrasonic sensor system based on the temperature.

An external acoustic source and a medical device inserted into a mammal are localized with respect to each other using one-way time-of-flight (ToF) measurements of acoustic signals sent from one or more transducer elements of a transducer in the external acoustic source to one or more acoustic sensors in the medical device. The ToF measurements are used to determine an alignment state of the transducer relative to the acoustic sensor(s). Graphical feedback data indicating the alignment state are generated and displayed to assist with achieving alignment of the transducer relative to the acoustic sensor(s).

The invention relates to the technical field of micro electromechanical systems, in particular to a micro electromechanical loudspeaker hybrid system which comprises an acoustic cavity. The acoustic cavity is provided with: a micro electromechanical loudspeaker; an acoustic sensor, arranged on a substrate which is the same substrate on which the micro electromechanical loudspeaker is arranged; a microprocessor, arranged on the substrate, an input end of the microprocessor is connected with the acoustic sensor, and an output end of the microprocessor is connected with a driving end of the micro electromechanical loudspeaker. According to the micro-electro-mechanical loudspeaker hybrid system, the loudspeaker can be monitored through the acoustic sensor, the sensitivity is better, distortion is overcome, and the loudspeaker is protected.

The application discloses a kind of quasi-distributed gas monitoring device and method based on hollow anti-resonance optical fiber, the device includes the first laser and hollow anti-resonance optical fiber connected in turn, N micro-holes are provided on the hollow anti-resonance optical fiber;The micro-hole is set in the position to be monitored, and each micro-hole is close to the setting of N acoustic sensors with preset distance;The acoustic sensor is optical fiber film microcavity pressure sensor, adopts end face elastic diaphragm structure;The application utilizes acoustic sensor to detect the sound wave signal excited by the thermal effect of the gas molecules to be measured into the hollow core part of hollow anti-resonance optical fiber through micro-hole and absorb excitation light energy, solve the problem that the existing gas detection technology based on photoacoustic spectroscopy involves more complex acoustic sensing unit and higher manufacturing cost, signal transmission is susceptible to electromagnetic interference, it is difficult to realize the miniaturization, high sensitivity, long distance quasi-distributed gas detection.

This invention relates to a chicken coop, comprising a hollow coop body containing cages for chickens. A gap exists between the outer wall of the cages and the inner wall of the coop. An installation block is installed within this gap, slidingly connected to the inner wall of the coop along the length of the coop body. An acoustic sensor and a temperature sensor are fixedly mounted on the side of the installation block facing the cages. The acoustic sensor collects the sounds of the chickens inside the cages, and the temperature sensor collects their body temperature. A processing module and an alarm module are fixedly mounted on the outer wall of the coop body. The processing module processes the information collected by the acoustic and temperature sensors and sends instructions to the alarm module, which then issues an alarm message based on the instructions. This invention addresses the problem of high workload for technicians who rely on manual inspections to monitor the health of chickens in existing technologies.

An AV includes at least one memory and at least one processor coupled to the memory, configured to execute the stored instructions to perform the following: receive inputs from one or more acoustic sensors positioned at one or more locations on the AV, with the sensors capturing audio signals associated with AV operation in its surrounding environment. The AV processes these inputs to identify audio signals generated by specific components of the AV. The AV processes the inputs to isolate distinct sound patterns to determine if they are indicative of an anomaly associated with a component failure. The AV analyzes these audio signals to detect periodic sound patterns related to tire rotation, assessing the frequency and amplitude of these patterns to identify a specific tire exhibiting an anomaly. In response to detecting a tire anomaly, the AV initiates a corrective action by the AV to address the detected issue.