1829 results about "Ultrasonic sensor" patented technology

A method for determining the speed of sound in a fluid in the region of an implanted, vascular support system includes sending an ultrasonic signal using an ultrasonic sensor, reflecting the ultrasonic signal on at least one sound reflector, receiving the reflected ultrasonic signal, and determining the speed of sound in the fluid using the ultrasonic signal. The at least one sound reflector may be visible in the field of vision of the ultrasonic sensor and arranged at a defined distance at least to the ultrasonic sensor or to a further sound reflector.

The invention relates to a method for determining at least a flow velocity or a fluid volume flow (5) of a fluid flowing through an implanted vascular support system (1), comprising the following steps: a) carrying out a pulsed Doppler measurement by means of an ultrasonic sensor (2) of the support system (1), b) evaluating a measurement result from step a), which has a possible ambiguity, c) providing at least one operating parameter of a flow machine (3) of the support system (1), d) determining at least the flow velocity or the fluid volume flow (5) using the measurement result evaluated in step b), wherein the possible ambiguity of the measurement result is corrected using the operating parameter.

The invention relates to a method for determining a flow rate of a fluid flowing through an implanted vascular assist system, said method comprising the following steps: a) carrying out a first pulsed Doppler measurement at a first pulse repetition rate by means of an ultrasonic sensor of the assist system; b) carrying out a second pulsed Doppler measurement at a second pulse repetition rate by means of the ultrasonic sensor of the assist system, wherein the second pulse repetition rate differs from the first pulse repetition rate; c) determining the flow rate using measurement results of the first pulsed Doppler measurement and the second pulsed Doppler measurement.

A process for exfoliating the skin, including the scalp, and / or the nails, comprising the step consisting in subjecting a surface of said skin (K), or said nails, to a cosmetic composition and to ultrasonic acoustic waves emitted by a device comprising at least one ultrasonic transducer (13), with an acoustic intensity Isata in the region exposed to the acoustic waves that is at least equal to 0.1 W / cm2, i) the transducer being moved relative to said surface at an average sweeping speed of between 0.01 cm2 / s and 15 cm2 / s for the duration of treatment of said surface, and / or ii) the device being applied to a location on the keratin material, then moved away from the latter and applied to a different location.

The invention provides a gas ultrasonic transducer fast matching method, device and equipment and a storage medium, original measurement data such as flight time are obtained by deploying an ultrasonic transducer in a gas ultrasonic flowmeter in a gas conveying pipeline, and multi-dimensional data acquisition is carried out in combination with other sensor parameters. Wavelet noise reduction and dynamic time warping processing are carried out on collected signals, signal quality and time sequence consistency are improved, time domain, frequency domain, environment and statistical features are extracted, and multi-dimensional feature vectors are formed. Modeling is carried out through a time sequence feature branch and an environment feature branch, weighted fusion is carried out by adopting an attention mechanism, and the recognition capability of the model on key features is enhanced. A machine learning model is trained based on fusion features, a multi-objective loss function and a data enhancement strategy are adopted, the prediction precision and generalization ability of the model are improved, and a compensation value is output to calibrate the original traffic in real time. According to the method, the accuracy and stability of gas flow measurement in a complex environment are effectively improved, and the method has a good engineering application prospect.

The invention relates to the technical field of intelligent travel control of walking-aided robots, and discloses a multi-sensor-based obstacle avoidance control method and system for a walking-aided robot. The obstacle avoidance control method for the walking-aid robot is applied to walking-aid robot equipment, and specifically comprises the following steps: S101, completing the installation of a multi-sensor module on the walking-aid robot, and collecting multi-source data obtained based on multiple sensors in real time, unifying the multi-source data to a base coordinate system of the walking aid robot by adopting timestamp synchronization and a coordinate system conversion matrix, and generating a fused dynamic obstacle sequence map; and S102, on the basis of the dynamic obstacle sequence map, a Kalman filtering and LSTM neural network fusion model is adopted to predict the motion trajectory of the dynamic obstacle. According to the method, the environment perception and decision-making architecture of the walking-aid robot is reconstructed, a multi-sensor space-time cooperation mechanism is matched through cross-modal data of laser radar and binocular vision, and ultrasonic sensor low obstacle special detection is combined, so that the step recognition rate is greatly improved.

The invention discloses a power transformer arc discharge multi-parameter detection simulation platform and a fault diagnosis method, and relates to the technical field of power system equipment state monitoring and fault diagnosis. The platform comprises a transformer body, a replaceable discharge module, a multi-parameter sensing unit and a signal processing and diagnosis module, and can truly reproduce various typical arc discharge faults of a needle plate, an air gap, a creeping surface, turn-to-turn and the like. The sensing unit is integrated with ultrahigh frequency and ultrasonic sensing probes, high-frequency current and voltage sensors, optical fiber temperature / pressure / strain sensors and the like, so that synchronous acquisition of multi-physical field signals is realized. According to the diagnosis method, through wavelet denoising and multi-dimensional feature extraction, a feature vector of multi-state parameter fusion in the process from partial discharge to arcing is constructed, and accurate classification of fault types is realized by using a support vector machine (SVM) model. The diagnosis method has high accuracy and early warning capability, effectively overcomes the limitation of single parameter diagnosis, and provides reliable technical support for transformer fault research and intelligent operation and maintenance.

Embodiments relate to an apparatus comprising a sensing module comprising an ultrasonic sensor; a haptic module comprising a vibratory actuator; a positioning module comprising a gyroscope; an actuator motor, and a processor. The processor is configured to detect a position and an orientation of a body part of a user using the positioning module, dynamically align the ultrasonic sensing module parallel to the ground using the attached actuators based on the position and the orientation of the body part of the user, sense and obtain data from surroundings using the ultrasonic sensing module, detect a presence, a distance and a location of an obstacle with respect to the user by processing the data, and alert the user by providing haptic feedback using the haptic module comprising the vibratory actuator, based on the location of the obstacle. In an embodiment the apparatus is integrated into a smart helmet.

An ultrasonic oscillator element, including a substrate, a first lower electrode, a first insulating layer, a second insulating layer, a second lower electrode, a first upper electrode, and a third insulating layer. The first lower electrode is disposed on the substrate. The first insulating layer is disposed so that the first lower electrode is located between the first insulating layer and the substrate. The second insulating layer and the first insulating layer form a first cavity. The second lower electrode is disposed adjacent to the first side of the second insulating layer and located in the outer region of the first cavity. The first upper electrode is disposed on the second side of the second insulating layer. The third insulating layer is disposed so that the second lower electrode is located between the third insulating layer and the first insulating layer.

The invention relates to the technical field of sewage detection, provides an intelligent detection method for suspended particles in coking sewage based on image deep learning, and aims to solve the problems of detection lag and low precision in the prior art. According to the technical scheme, the method comprises the following steps: synchronously acquiring sound wave and image data through a high-frequency ultrasonic transducer and an industrial camera, and extracting acoustic parameters and optical characteristic parameters; using a dual-channel convolutional neural network to fuse features, and combining a cross-modal attention mechanism to perform dynamic weighting; and outputting a particle concentration classification result and a particle size distribution prediction value through a multi-task learning model, and performing online learning to compensate environmental interference factors. The device is mainly used for realizing real-time and high-precision suspended particle monitoring and automatic process adjustment of coking sewage treatment.

A hybrid time domain multiplexing (TDM) and frequency domain multiplexing (FDM) configuration protocol for a doppler-based ultrasound fetal monitoring system (FMS) is provided. In an example, a FMS determines context information regarding an operating context of the FMS, the context information comprising a number of fetal sensor devices (FSDs) activated for monitoring a corresponding number of fetuses of a single mother, wherein the FSDs respectively comprise ultrasound transducers configured to measure fetal parameters of a single fetus, and wherein each of the FSDs are configurable to operate using either the FDM mode or the TDM mode. The FMS further configures respective operating modes (i.e., FDM mode or TDM mode) of the FSDs based on the context information and in accordance with a configuration protocol that varies the respective operating modes (i.e., FDM mode or TDM mode) of the FSDs under different operating contexts of the FMS.

The invention discloses a control method of a control system for automatic unwinding of a carbon fiber placement machine, and the system comprises an ultrasonic sensor for measuring the winding diameter of an unwinding raw material, an unwinding shaft for installing a carbon fiber raw material winding drum, a servo all-in-one machine directly connected with the unwinding shaft, and a film winding shaft for winding a covering film in the raw material winding drum, the floating roller is used for balancing the elastic force of the spring and the tension of a yarn path, the spring is connected to the floating roller, and the displacement sensor is connected to the spring. Spring elasticity is obtained through a displacement sensor, and then current yarn path tension is obtained; according to the set expected tension and the current yarn path tension, the force needing to be output by a servo all-in-one machine directly connected with the unwinding shaft is obtained through a PID algorithm; the diameter of the unwound material is measured through the ultrasonic sensor, and the torque needing to be output by the servo all-in-one machine is calculated. According to the invention, high stability and quick response performance of automatic unwinding during high-speed fiber placement of the carbon fiber placement machine equipment are realized, and various faults in the unwinding process are automatically judged.

The invention discloses a method for improving the axial resolution of photoacoustic microscopic imaging obtained based on a single-pixel frequency domain. The method comprises the following steps: 1) creating a Fourier substrate pattern with the spatial frequency of k in the axial direction; 2) respectively irradiating four Fourier substrate patterns with the spatial frequency of k and the initial phases of # imgabs0 #, # imgabs1 #, # imgabs2 # and # imgabs3 # to an imaging object, carrying out photoacoustic microscopic imaging, and acquiring data by using an ultrasonic transducer to obtain a response value of the ultrasonic transducer; 3) according to the obtained response value of the ultrasonic transducer, adopting a four-step phase shift method to obtain a Fourier coefficient corresponding to the spatial frequency k; and 4) gradually increasing the spatial frequency of the Fourier substrate pattern to the cut-off frequency of the objective lens, further obtaining Fourier coefficients corresponding to all spatial frequencies, obtaining a complete Fourier spectrum, and performing inverse Fourier transform to obtain a photoacoustic microscopic image after the axial resolution is increased. The method disclosed by the invention is expected to promote wider application of photoacoustic microscopic imaging in living cell and tissue imaging.

The invention discloses a method for jointly detecting corrosion defects of a pressure pipeline by utilizing multiple guided wave modes, relates to an ultrasonic non-destructive testing technology, and is used for solving the problem that the accuracy is relatively low when a single guided wave mode is used for detecting. The method for detecting the corrosion defect of the pressure pipeline comprises the following steps: calculating ultrasonic guided wave dispersion data of the pressure pipeline, and determining the center frequency of a transducer according to the dispersion data; the method comprises the following steps: arranging ultrasonic transducer annular arrays on two sides of a to-be-detected pressure pipeline, and acquiring ultrasonic guided wave data detected by the pressure pipeline in an L (0, 1) mode and a T (0, 2) mode; preprocessing the array waveform data to obtain detection data which can be used for guided wave imaging; according to the L (0, 1) mode guided wave data, a full waveform inversion method is adopted to invert the wall thickness of the pipeline corrosion defect; judging whether the pipeline defect exceeds the detection depth range of the T (0, 2) mode, and if the pipeline defect exceeds the detection depth range, ending; and if not, inverting the wall thickness of the pipeline corrosion defect by adopting a full-waveform inversion method according to the T (0, 2) mode guided wave data.

A system for controllably changing a tissue property in a target volume. It comprises an ultrasound transducer that sonicates a target volume to change tissue properties by transmitting a sequence of acoustic pulses to the target volume, while a sensor array captures acoustic feedback generated by the sequence of acoustic pulses in the target volume. A controller (420) is provided, which (i) generates a spectrogram from the acoustic feedback, (ii) computationally calculates a degree of change of the tissue property in the target volume based on the spectrogram, and (iii) controls the ultrasound transducer based on the calculated degree of change of the tissue property to change the tissue property to a target degree set for a specific treatment.

Methods and apparatuses for monitoring a patient in a healthcare setting may include one or more radar transducers to monitor a monitoring region to detect and prevent patient assaults and self-harm. The radar transducers, which may include millimeter wave, lidar, and ultrasonic transducers, can determine and track patient's location and determine patient welfare. Also described herein are systems configured to interpret patient movement.

A method for locating an unknown arrangement of ultrasound transducer elements includes acquiring a set of raw ultrasound data using a flexible or rigid array of transducer elements, extracting a set of features from the ultrasound data, the features being derived from fundamental physics of ultrasound propagation and structural characteristics of a target object being imaged, organizing and structuring the extracted features as input for a machine learning model, and determining spatial coordinates of each ultrasound transducer element based on an output of the machine learning model.

The invention discloses a pipeline stress detection method and a stress simulation calculation method. The method comprises the following steps: S1, selecting a plurality of measuring points on the circumference of a cross section of the outer wall of a pipeline; s2, grinding the measuring points on the outer wall of the pipeline until a pipeline body appears; s3, a prefabricated X65 pipeline steel test piece is placed on the pipeline near the measuring point, an ultrasonic transducer probe is placed on the zero-stress test piece, and sound time and temperature during zero stress are obtained; s4, an ultrasonic transducer probe is coupled to the measuring point of the pipeline body along the axis, and the stress of the four positions of the outer wall of the pipeline is obtained; s5, according to the ultimate mechanical parameters of the pipe and the design standard of the pipe, the tension and pressure state, the bending degree and the safety coefficient in the working period of the measured position of the pipe are given; according to the method, a stress detection mode and a simulation calculation method are combined, detection, simulation model establishment and stress calculation are carried out on the pipeline in a simple and convenient mode, the pipeline safety analysis result can be accurately obtained under the condition that the pipeline safety is not affected, and the method has important significance in the field of geological exploration.

A row-column ultrasound transducer array is controlled to perform excitation in the azimuth dimension with two sets of excitation signals in quadrature. The two sets of excitation signals are delivered such that adjacent transducer elements are simultaneously provided excitation signals in quadrature, or such that transmit events occur temporally in series for synthetic imaging, with each transmit event being generated using a respective set of excitation signals. Separate bias apertures are applied in the bias (elevation) direction for each set of excitation signals, such that elements driven according to one set of excitation signals are biased, in the elevation direction, according to one bias aperture, and the elements driven with quadrature excitation signals are biased according to another bias aperture. The bias apertures are selected such that their combination results in the generation of a Fresnel aperture with fine and controllable phase resolution beyond that of a conventional row-column transducer.

A catheter comprises a catheter shaft having a fluid channel, an ultrasound transducer and a compliant balloon mounted on the catheter shaft and having an interior in fluid communication with the fluid channel and containing the ultrasound transducer. The compliant balloon includes a balloon wall having a working section radially surrounding the ultrasound transducer. The working section has a predetermined straightness when the working section has a first diameter and when the working section has a second diameter that is at least 2 mm greater than the first diameter. Other embodiments are also described and claimed.

Disclosed herein are ultrasound transducers that are selectively insulated to thereby enable the transducers to be exposed to an electrically conductive fluid without causing a short circuit between electrodes of the transducers. Such a transducer includes a piezoelectric transducer body having a first surface and a second surface that are spaced apart from one another and do not intersect with one another. The ultrasound transducer also includes a first electrode disposed on the first surface, a second electrode disposed on the second surface, and an electrical insulator covering only one of first and second electrodes and configured to inhibit electrical conduction between the first electrode and the second electrode when the ultrasound transducer is placed within an electrically conductive fluid. Also disclosed are apparatuses and systems that include such a transducer. Related methods are also disclosed herein.

The disclosure includes a method (100) for classifying at least one detectable object (10) with at least one ultrasonic sensor (50). In this process, (120) object class information (12) for the at least one object (10) is determined using a neural network (9), wherein the neural network (9) generates an output (15) based on at least one first input (11), which indicates a probability value for at least one defined object class for the one object (10).

The invention relates to ultrasound data augmentation for autonomous systems and applications. Ultrasound data augmentation for autonomous and / or semi-autonomous systems and applications is described herein. Systems and methods described herein may use sensor data generated with one or more ultrasound sensors to generate augmented input data to train one or more machine learning models to generate one or more representations (e.g., one or more maps) of an environment. The sensor data may be augmented using one or more techniques such that the augmented input data corresponds to various driving environments (e.g., different driving surfaces), various gestures (e.g., different positions and / or orientations) of the machine, and / or includes additional information associated with the ultrasonic sensors and / or sensor data. The systems and methods described herein may also use the new architecture to generate input data for the machine learning model, where the input data represents an environment around a machine executing the machine learning model.

Disclosed are automated urinary output (“UO”)-measuring systems and methods. An automated UO-measuring system can include a container configured to collect a fluid such as urine. The container can include a console, one or more ultrasonic sensors coupled to the console for determining a fluid level within the container, one or more accelerometers coupled to the console for determining a near-zero acceleration state of the container for the determining of the fluid level within the container, and a valve configured to pass fluid therethrough by way of a fluid line coupled to the valve. The automated UO-measuring system can also include a container holder. The container holder can have a pocket for holding the container and a sleeve for securing the container to a user. A method of the automated UO-measuring system can include a method of using the automated UO-measuring system to collect and measure urine output of the user.

An agricultural trench depth sensing system having a trench implement adapted to be disposed in a soil trench opened in a soil surface. In one embodiment an ultrasonic sensor detects a distance to an upper surface of said trench implement or a target disposed thereon. In another embodiment, said trench implement includes one or more fingers which rotate with respect to said trench implement to detect the soil surface relative to said trench implement. In another embodiment, said trench implement includes side sensors for detecting the sidewall of the soil trench.

The invention discloses an ultrasonic transducer series resonant frequency tracking method and an ultrasonic driving power supply, and the tracking method comprises the steps: calculating a current phase difference between a voltage signal and a current signal, determining a phase difference error and an error change rate through the combination of a target phase difference, and determining the resonant state of an ultrasonic transducer according to the comparison of the phase difference error and an error threshold value; if the current driving frequency is in the resonance state, keeping the current driving frequency unchanged; and if in a non-resonant state, correcting the driving frequency through a fuzzy PID algorithm. In order to cope with the sudden change of the load, the tracking method introduces an AI model to identify the load and predict the optimal driving frequency, and then the predicted optimal driving frequency is used as the current driving frequency. According to the invention, the response speed and the adjustment precision in dynamic frequency tracking are improved, and adaptive resonance driving and frequency control of the ultrasonic transducer under variable load and variable working conditions can be realized.

The invention discloses a self-powered MEMS ultrasonic sensor array system based on vibration energy collection and an implementation method, and relates to the technical field of sensor power supply, and the self-powered MEMS ultrasonic sensor array system comprises an energy collection unit, an ultrasonic emission unit, an imaging positioning unit and a self-powered unit. The energy acquisition unit converts environmental mechanical vibration energy into sustainable electric energy; the ultrasonic transmitting unit dynamically dispatches the sensor array to generate a directional beam; the imaging positioning unit processes the reflected signals to generate space coordinates, and array reconstruction is triggered when the quality is reduced; the self-powered unit distributes electric energy according to priorities, and standby energy storage is started when vibration disappears. The system thoroughly gets rid of dependence of an external power supply, can stably realize high-precision positioning in a vibration energy fluctuation scene by dynamically optimizing and balancing detection precision and power consumption and prolonging continuous working time without manual intervention, and is suitable for power supply limited scenes such as remote monitoring and mobile equipment; the problem that a traditional system depends on an external power supply and cannot be self-powered in a vibration environment is solved.

The invention provides a driving and sensing integrated soft claw, gripper and method, and belongs to the field of deep sea soft grippers. The problems that a traditional soft gripper sensor is prone to forming stress concentration and cannot achieve multi-point sensing are solved. The driving and sensing integrated soft claw comprises a sensing layer, an acoustic wave guide main flow channel extending in the length direction is arranged on the sensing layer, and an ultrasonic transducer is arranged on the side, close to the fixed end of the sensing layer, of the acoustic wave guide main flow channel. The end face of one side of the sensing layer is a grabbing face, and a plurality of evenly-arranged protrusions are arranged in the acoustic wave guide main flow channel corresponding to the end face. And the driving layer is arranged on the side, away from the grabbing face, of the sensing layer, a plurality of deformation cavities communicating with the acoustic wave guide main flow channel are formed in the driving layer, the driving layer is in a stretching state in a normal state, and when the deformation cavities are filled with liquid and pressurization continues, the deformation cavities are used for deforming to drive the sensing layer to bend. The manipulator is mainly used for grabbing actions.

The invention relates to the technical field of medical equipment, and provides a focused ultrasound system with multiple treatment modes. The drive circuit comprises a signal generation module which outputs a first ultrasonic generation signal suitable for a thermal ablation mode or a second ultrasonic generation signal suitable for a histotripsy mode; the energy amplification module comprises a signal end, a power supply end and an output end coupled with the ultrasonic transducer; the energy amplification module comprises an isolation driving circuit which outputs a first switch driving signal and a second switch driving signal which are opposite based on an input ultrasonic generation signal; and the power amplification circuit comprises a second switch unit and a first switch unit which are set to be in opposite switch states by opposite driving signals so as to output ultrasonic driving signals to excite the ultrasonic transducer to form focused ultrasound in a histotripsy mode or a thermal ablation mode. The driving circuit is simple in structure and easy to realize, and can meet power supply requirements of various modes such as thermal ablation, histotripsy and the like.