1171 results about "Ultrasonic sensor" patented technology

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.

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 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.

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 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.

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.

A touch-sensing system includes a cover stack, piezoelectric capacitors, and a signal processor. The piezoelectric capacitors are mechanically coupled to the cover stack at its inner interface. There is a first array of the piezoelectric capacitors which are configured as piezoelectric ultrasonic transducers (PUTs). There is a second array of the piezoelectric capacitors which are configured as piezoelectric force-measuring elements (PFEs). The signal processor is configured to receive PUT array signals from the PUTs and PFE array signals from the PFEs. The signal processor is configured to calculate PUT centroid data from the PUT array signals and PFE centroid data from the PFE array signals. The signal processor is configured to determine an estimated touch position on the cover stack by combining applicable centroid data including the PUT centroid data and the PFE centroid data.

The invention provides an electrochemical biosensor based on ultrasonic bidirectional driving and a detection method, and belongs to the technical field of biosensing. The sensor comprises a porous membrane and an ultrasonic bidirectional driving unit, and a probe capable of specifically capturing a target object is fixed in a pore channel of the porous membrane; the ultrasonic bidirectional driving unit is composed of a first ultrasonic transducer and a second ultrasonic transducer which are symmetrically arranged on the two sides of the porous membrane, and can synchronously execute reverse power gradient change to form alternately changing pressure difference on the two sides of the membrane so as to drive liquid to repeatedly penetrate through the porous membrane. The detection method comprises the steps of to-be-detected liquid injection and ultrasonic bidirectional driving, ultrasonic auxiliary cleaning and electrochemical detection. The problems of insufficient probe utilization rate, low mass transfer efficiency and non-specific adsorption of a traditional passive diffusion mechanism are solved by utilizing bidirectional ultrasonic active driving force, the detection sensitivity, speed and signal-to-noise ratio are remarkably improved, and the method is suitable for rapid and high-sensitivity quantitative analysis of various analytes.

The invention discloses a dynamic gesture recognition control system for an intelligent wheelchair, and relates to the technical field of intelligent wheelchairs, the system comprises the following components: an environment sensing module which is composed of a laser radar and an ultrasonic sensor and is used for collecting information of a surrounding environment in real time and constructing an environment map; meanwhile, the position and the shape of the obstacle and the distance information between the obstacle and the wheelchair are accurately recognized; by introducing the dynamic gesture recognition technology, not only can the current static gesture action of the user be recognized, but also the following action intention of the user can be predicted based on parameters such as the speed, the angle and the acceleration of the gesture, so that the intelligent wheelchair can make a response in advance, closer and smoother interaction with the gesture operation of the user is achieved, and in addition, the user experience is improved. In combination with the information of the environment sensing module, the intelligent wheelchair can more accurately understand the intention of the user and perform reasonable obstacle avoidance operation in a complex environment, so that the overall use experience and safety are improved.

An autonomous warehouse robotics system integrates a multi-sensor platform, adaptive payload handling, dynamic task reallocation, advanced navigation, energy management, and comprehensive safety features into one mobile robot chassis. The system utilizes LiDAR, stereo vision, ultrasonic sensors, mmWave radar, thermal cameras, and event cameras to perform complete environmental sensing and obstacle detection. Sensor fusion combines adaptive weighting, multi-modal data integration, and statistical filtering to create high-confidence maps for reactive path planning and collision avoidance. The robot's payload system features machine vision for item recognition, telescopic lifts, variable-width grippers, and real-time toolhead verification to handle a variety of goods. Fleet management is achieved through dynamic task reallocation that considers robot location, battery level, and operational delays, all coordinated by a cross-platform middleware architecture that ensures standardized communication, remote monitoring, and over-the-air updates among diverse robot brands. Energy management optimizes power usage via predictive routing, autonomous return-to-charge, and auction-based scheduling. Safety is maintained through proximity detection, behavior-based intervention, and human-robot cohabitation protocols while advanced localization is enhanced by fusing ultra-wideband positioning with visual landmark alignment, inertial sensing, and machine learning to deliver high accuracy in non-line-of-sight conditions. An onboard edge AI module further refines navigation and task prioritization through neural network inference, ensuring robust, adaptive operation in dynamic, unstructured warehouse environments.

The invention relates to a method for determining the speed of sound in a fluid in the region of an implanted, vascular support system, comprising the following steps: a) sending an ultrasonic signal by means of an ultrasonic sensor b) reflecting the ultrasonic signal on at least one sound reflector, which is 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, c) receiving the reflected ultrasonic signal, d) determining the speed of sound in the fluid using the reflected ultrasonic signal.

An ultrasound sensing system includes a plurality of ultrasound transducers for placement on a human body proximate a blood vessel, a hardware controller for controlling operation of the plurality of ultrasound transducers, and a digital processing module for processing reflected ultrasound signals. The plurality of ultrasonic transducers includes a first subset of ultrasonic transducers and a second subset of ultrasonic transducers, where the ultrasonic transducers of the first subset are linearly arranged, where the ultrasonic transducers of the second subset are linearly arranged, wherein a first subset of the ultrasound transducers is positioned parallel to a second subset of the ultrasound transducers at a fixed separation distance. The hardware controller is configured to control transmission and reception of reflected ultrasound signals at the first subset of the ultrasound transducers and the second subset of the ultrasound transducers, wherein the reflected ultrasound signals sense movement of a wall of a blood vessel.

The invention provides a postoperative monitoring device based on an implant and a system thereof, which adopt an injectable, wireless and completely degradable ultrasonic sensor to realize real-time, continuous and non-invasive monitoring of a physiological environment (pressure, temperature and pH) around a metal internal fixture (such as a bone lamella and an intramedullary nail). The size of the sensor is 2 * 2 * 2mm < 3 >, and the sensor adopts a dual-network hydrogel matrix and a periodically arranged air column structure, is implanted into a body in a minimally invasive manner, and is naturally degraded within 4-5 weeks after an operation. The system further comprises a data processing unit and a user interface which are used for displaying monitoring data and early warning information. According to the method, the limitation of a traditional monitoring method is overcome, the monitoring accuracy and reliability are improved, the medical cost and the pain of a patient are reduced, and the method has wide clinical application prospects and social and economic values.

The invention provides a short bolt axial stress detection method and device based on electromagnetic ultrasonic resonance, and relates to the technical field of industrial fastener stress detection. The method comprises the following steps: determining a preset period and frequency of an excitation signal according to material characteristics of a to-be-measured short bolt, and calibrating resonant frequency and stress to obtain a calibration curve; classifying the lengths of the short bolts to be measured to obtain bolts with known original lengths and in-service bolts with unknown original lengths; based on the determined preset period and frequency, first-order resonant frequency corresponding to the bolt with the known original length is obtained through an electromagnetic ultrasonic transducer and a single-wave resonance method; based on the determined preset period and frequency, first-order resonant frequency corresponding to the in-service bolt with the unknown original length is obtained through an electromagnetic ultrasonic transducer and a double-wave resonance method; and calculating the axial stress of the corresponding short bolt to be measured according to the calibration curve and the first-order resonant frequency. The problems that in the prior art, the energy conversion efficiency is low, and the short bolt detection effect is poor are solved.

The utility model discloses an ultrasonic microreactor which is formed by directly attaching an ultrasonic transducer and a microreactor, the ultrasonic microreactor is formed by connecting a plurality of fluid microchannel reaction layers in series; the fluid micro-channel reaction layer is formed by alternately connecting a plurality of thin channels and thick channels; a reaction layer turbulent flow chip is arranged in the middle of the thick channel; under the synergistic effect of ultrasound and the microreactor, the ultrasonic microreactor has higher energy density and more accurate sound field and flow field regulation and control capability, and can solve the problems that channels are easy to block and the like, so that nano-emulsion with uniform particle size can be continuously prepared, and the efficiency of an emulsification process and the quality of an emulsion product are improved.

The invention relates to the technical field of sewage treatment, in particular to a plastic regeneration particle cleaning sewage treatment method and device.The method comprises the steps that the bubble volume stability of air-dissolved water is obtained through ray intensity data, and the floccule movement disorder of a target ultrasonic sensor at each detection moment is determined in combination with ultrasonic data; according to the flocculent response time interval of the flocculent detection moment when the adjacent ultrasonic sensor detects the floccules for the first time, the bubble horizontal diffusion obstruction of the target ultrasonic sensor is determined; determining the bubble volume damage rate of the target ultrasonic sensor at each flocculent detection moment according to the movement disorder of the floccules and the horizontal diffusion obstruction of the bubbles; the ultrasonic intensity rising obstruction is obtained by utilizing the ultrasonic data, and the scum layer formation stability of the target ultrasonic sensor is determined by combining the bubble volume damage rate; the scum layer is used for forming stability to adjust the diameter of bubbles in the air-dissolved water. According to the technical scheme, the sewage treatment effect and the sewage purification efficiency are improved.

The various implementations described herein include adhesive compositions for high-voltage focused ultrasound applications. In one aspect, an ultrasound transducer comprises a plurality of tiles. Each tile includes a first electrically conductive layer, a second electrically conductive layer, a plurality of transducer elements disposed between the first electrically conductive layer and the second electrically conductive layer, and a composite structural adhesive (a) disposed between the first electrically conductive layer and the second electrically conductive layer and (b) disposed between respective adjacent transducer elements of the plurality of transducer elements. The composite structural adhesive includes an epoxy resin, fumed silica, and a powder selected from the group consisting of: (i) micronized mica, (ii) bioactive glass powder, and (iii) micronized mica and bioactive glass powder.

A system and method for determining fluid quality or change in quality by training machine learning algorithms using ultrasound Fast Fourier Transform (FFT) signatures. The system includes one or more ultrasonic transducers embedded inside or outside of a pipe, piping, or vessel that allows a fluid to flow past or between the ultrasound transducers. The transducer's acoustic energy creates ultrasound pressure waves and localized heat due to acoustic cavitation. The cavitation creates bubbles that collapse creating ultrasound sonic energy in the time domain. Unique sonic time-domain signatures, distinctively associated with the characteristics of the fluids, are converted to FFTs to produce unique, well-defined frequency response signatures. Machine learning algorithms are used to identify, measure, and classify the unique frequency response signatures associated with a wide range of fluids.

Photoacoustic medical-device navigation systems and methods provide alternatives to those incorporating fluoroscopy for medical-device navigation in patient bodies. A medical-device navigation system can include an optical-fiber stylet, ultrasound transducers, and a console. The stylet can transmit light to an instant location of a distal tip of an elongate medical device in a patient's body and, thereby, irradiate endogenous chromophores to generate ultrasound-frequency photoacoustic pressure waves therefrom. The ultrasound transducers can detect ultrasound signals corresponding to the photoacoustic pressure waves. The console can instantiate medical-device navigation processes for navigating the elongate medical device via the stylet as the elongate medical device is advanced to the target location in the patient's body. The medical-device navigation processes can include acquiring ultrasound-signal data from the ultrasound transducers, reconstructing images from the ultrasound-signal data, and displaying reconstructed images on a display for navigating the elongate medical device to the target location in the patient's body.

The invention relates to the technical field of medical data processing and nerve regulation and control, in particular to a method for synchronously activating post-stroke neuroplasticity through photoacoustic, which comprises the following steps of: 1, constructing a stroke specific brain region target map: fusing brain structure connection data and functional network data of a patient, generating a three-dimensional target map containing the high-metabolism semi-dark band coordinate set and the cross-hemisphere compensatory connection intersection; 2, calculating a time-space synchronization focusing parameter; 3, synchronous stimulation and dynamic regulation are executed, wherein the ultrasonic transducer and the laser source are controlled to emit time-space synchronous sound waves and light pulses; monitoring the blood perfusion variable quantity and the neurotransmitter concentration ratio of the target brain area in real time; when the blood perfusion variable quantity does not reach the expectation or the transmitter ratio is unbalanced, the stimulation intensity is dynamically adjusted, and the focusing coordinate is translated in the direction away from the infarction area. Through photoacoustic stimulation of time-space synchronization, the difference between the propagation speeds of sound waves and light waves is overcome, and accurate collaboration of neural restoration is achieved.

The invention discloses a multichannel ultrasonic transducer phased array driving method based on direct memory access. The method comprises a waveform data buffer length determination step, a data path construction step, a phase parameter calculation step, a waveform data synthesis step and a DMA driving step. An independent DMA channel is configured for each GPIO port or each group of GPIO ports corresponding to the transducer array by utilizing the DMA characteristic of a universal microcontroller, and buffer data is transmitted to the output data registers of the GPIO ports automatically and periodically by DMA hardware, so that multi-channel driving signals with accurate frequency and controllable phases are generated in parallel under the condition that CPU (Central Processing Unit) intervention is not needed. According to the invention, high-precision time sequence control comparable with an FPGA (Field Programmable Gate Array) scheme is realized with extremely low hardware cost and CPU (Central Processing Unit) resource occupation, the problem of time sequence jitter of an existing MCU (Microprogrammed Control Unit) scheme is solved, and the method has high stability, high efficiency and excellent expandability.

The invention discloses a vortex ultrasonic transducer, an acousto-optic coaxial modulation method and an analogue simulation method, and relates to the technical field of acousto-optic modulation.The method comprises the steps that a focused vortex sound field is generated through the vortex ultrasonic transducer with a center perforated hole, sound beams and light beams are coaxially propagated in the same direction, the sound field is used for regulating and controlling medium refractive index distribution, and the sound field is used for generating a focused vortex sound field; and light beam focusing spiral propagation and scattering suppression are realized. A model is constructed through analogue simulation, and the regulation and control effect of the sound field on the light beams is analyzed. According to the invention, coaxial modulation of the vortex sound fields with different topological charges on the light beams is realized, and a new path is provided for research of an acousto-optic regulation and control technology.

The invention relates to the technical field of medical first-aid equipment, and provides intelligent cardio-pulmonary resuscitation equipment based on physical sign information fusion, which comprises a physical sign monitoring module which is integrated with an electrocardiogram monitoring unit, an end-tidal carbon dioxide (ETCO2) monitoring unit and a carotid artery blood flow ultrasonic sensor and is used for acquiring electrocardiosignals, ETCO2 concentration and carotid artery pulse data of a patient in real time; the circulation optimization module comprises an in-vitro double-lower-limb pressurization device, promotes lower limb vein blood backflow through periodic air pressure pressurization, and is provided with a pressure sensor for dynamically adjusting the pressurization intensity. Through the intelligent pressing mechanical arm, the pressing track and the springback strength can be dynamically adjusted according to the pressing effective coefficient (CCF), personal errors caused by fatigue of an operator and individual differences are avoided, high standardization and stability of pressing operation are achieved, cardio-pulmonary resuscitation effectiveness is remarkably improved, lower limb vein blood backflow is promoted through periodic air pressure pressurization, and the cardio-pulmonary resuscitation effect is improved. A pressure sensor is arranged to dynamically adjust the pressurization intensity, and the success rate of cardio-pulmonary resuscitation is increased.

The utility model discloses a cutting head and a skin treatment device, and the cutting head comprises a housing which is provided with a mounting cavity; the driving mechanism comprises at least one electromagnet and at least one magnetic body; the transducer assembly comprises a basic bracket, a swinging structure and an ultrasonic transducer; the part between the two ends of the swing structure is rotationally connected with the basic support, one end of the swing structure is connected with the ultrasonic transducer, one of an electromagnet and a magnetic body is arranged at the other end of the swing structure, the other one of the electromagnet and the magnetic body is fixedly arranged on the basic support, and the electromagnet and the magnetic body are arranged adjacently; and when the electromagnet and the magnetic body magnetically attract or repel, the ultrasonic transducer is driven by the swing structure to move in the mounting cavity. According to the technical scheme, the production cost of the tool bit is reduced.