1433 results about "Accelerometer" patented technology

Locator systems are disclosed for locating buried utilities such as conduits, cables, pipes. or wires. The locator system may include image-capturing and position and orientation measuring devices such as magnetic compass, accelerometers, gyros, GPS, and DGPS. The system may associate images captured during the locate process with buried utility position data and the other sensor data. These data and images may be further associated with terrain images from satellites or aerial photography to provide a highly precision map and database of buried utility locations and visual images of the burial site. Information so obtained may be transferred to a hand-held personal communication device, such as a smart phone to show the location of buried utilities in combination with photo-images and / or terrain maps.

The invention provides a multi-source heterogeneous data fusion side slope digital twin modeling method, which comprises the following steps of: acquiring side slope multi-dimensional monitoring data by arranging a GNSS (Global Navigation Satellite System) sensor, a multi-point displacement meter, a distributed optical fiber strain sensor, an accelerometer, an osmometer, a monocular camera and satellite remote sensing image equipment; the collected data is converted into a unified format through time alignment, space registration and standardization processing and serves as modeling input; the method comprises the following steps: constructing an initial digital twinborn model reflecting the real form and physical characteristics of a slope by utilizing a three-dimensional modeling and finite element simulation technology; in combination with real-time sensing data, model evolution is dynamically driven based on a space-time fusion algorithm, boundary conditions and material parameters are automatically corrected through actual measurement deviation feedback, and continuous twin iteration updating of the model is achieved; and finally, extracting a landslide risk index to realize real-time early warning of the side slope. According to the invention, multi-source sensing and digital twinborn fusion is realized, and the accuracy, real-time performance and intelligent level of slope monitoring are improved.

The invention provides an MEMS acceleration sensor null drift determination method and device and a terminal, and relates to the technical field of MEMS acceleration sensors. According to the invention, the first accelerometer and the second accelerometer which are relatively fixed in position and different in measuring range are arranged and synchronously move in the use process, and the real-time zero-offset drift distance of the wide-range accelerometer is determined based on the difference between the monitoring values of the small-range accelerometer and the wide-range accelerometer by utilizing the accuracy of the small-range accelerometer. Therefore, the wide-range accelerometer can be corrected in real time by using the zero-offset drift amount, and the accuracy of the measured value of the acceleration sensor is improved in a relatively wide range. In addition, the two accelerometers move synchronously in the using process, the two accelerometers are the same in environment and inclination angle, the zero offset drift distance of the large-range accelerometer is determined based on the monitoring value of the small-range accelerometer, the influence of environment vibration can be avoided, the influence of gravity components of the inclination angles of the accelerometers can also be avoided, and the accuracy of determining the zero offset drift distance is improved.

An automated urinary output (“UO”)-measuring system includes a fluid container including a console coupled to one or more ultrasonic sensors and one or more accelerometers. The console includes a processor configured to receive accelerometer values from the one or more accelerometers, to determine an acceleration state of the fluid container, to activate the one or more ultrasonic sensors when the acceleration state of the fluid container is below a threshold, and to measure a volume of fluid in the fluid container when the acceleration state of the fluid container is zero. The system can further include a removable valve coupled to the fluid container and an attachment device including a pocket configured to accommodate the fluid container.

System and method for monitoring vehicular traffic on a bridge, including receiving digital data representing the response of the bridge to a traffic event, where the digital data has been collected during the traffic event, from displacement sensors and accelerometers mounted on the superstructure of the bridge, wherein the digital data from the displacement sensors embody bending responses of the bridge, the digital data from the accelerometers embody acceleration responses of the bridge, and the digital data from the sensor are synchronised in the same time space, providing a parametric model which uses modal parameters to simulate generalized boundary conditions and two-dimensional behaviour of the bridge; using the parametric model to process the digital data to solve for deformation of the bridge and characteristics of the vehicle traffic, and generating an output that describes the deformation of the bridge and characteristics of the vehicle traffic.

The invention relates to the technical field of inertial navigation and sensor fusion, in particular to a multi-sensor fusion and adaptive filtering attitude estimation method, which comprises the following steps: S1, acquiring sensor data of a gyroscope, a magnetometer and an accelerometer, and respectively acquiring angular velocity, magnetic field direction and gravitational acceleration information; s2, angle information is obtained, and magnetometer and accelerometer sensor data are converted into attitude information; s3, carrying out weighting processing on the angle information and the attitude information through a fading memory weighting method and a limited memory weighting method; S4, carrying out filtering fusion on the weighted angle information and attitude information through an RAEKF filtering fusion algorithm; s5, an adaptive factor and a robust factor are introduced into the RAEKF filtering fusion algorithm; s6, outputting attitude angle estimation; according to the method, the theoretical contradiction that long-term drifting and stability cannot be achieved at the same time is fundamentally solved, stable precision is kept under abnormal data interference, and the robust performance is remarkably improved.

An unidentified aerial phenomena field disturbance detector includes an accelerometer configured to measure a gravitational field surrounding the unidentified aerial phenomena field disturbance detector; a magnetometer configured to measure a magnetic field surrounding the unidentified aerial phenomena field disturbance detector; a microwave frequency detector configured to measure a specific band of microwave frequencies surrounding the unidentified aerial phenomena field disturbance detector; a controller; and an optical indicator configured to optically communicate information to a user of the unidentified aerial phenomena field disturbance detector. The controller determines a change in the gravitational field surrounding the unidentified aerial phenomena field disturbance detector when generates gravitational field values are outside a predetermined range of non-event field values. The controller controls the optical indicator to optically communicate the determined change in the gravitational field surrounding the unidentified aerial phenomena field disturbance detector.

The invention provides a cattle behavior recognition method based on a three-axis attitude angle, and belongs to the technical field of intelligent animal husbandry management. According to the method, three-axis attitude angle signals such as the yaw angle (Yaw), the pitch angle (Pitch) and the roll angle (Roll) of the head of a cattle are collected in real time through a gyroscope sensor arranged in wearable equipment such as a cattle ear tag. The method does not depend on images, accelerometers, microphones or other modalities, only based on attitude angle signals, multiple algorithms such as a time sequence sliding window, frequency domain analysis, weighted scoring, sudden change detection and state transition modeling are utilized, and multiple typical behaviors such as ingestion, rumination, water drinking, bed lying, limping, licking, fright jumping and low activity are recognized. The method is suitable for multiple cattle breeds such as dairy cattle, beef cattle and buffalo, has the advantages of low power consumption, lightweight calculation, low deployment cost, accurate identification and the like, and is convenient for realizing behavior monitoring and health management of large-scale cattle individuals. The algorithm path can be flexibly selected, but a core input signal is only limited to attitude angle data, so that the technical boundary of the patent protection of the method is formed.

The invention discloses a single-axis mechanical accelerometer and a measuring method, and relates to the technical field of accelerometer measuring equipment.The single-axis mechanical accelerometer comprises a base and a dome shell installed on the base, a first cavity is formed in the base, and an I-shaped balancing weight capable of axially sliding is installed in the first cavity; a first spring is mounted between the I-shaped balancing weight and the cavity bottom of the first cavity; a conical sleeve capable of sliding in the radial direction is installed in the dome shell, a transverse shaft is inserted into the conical sleeve in a penetrating mode, the two ends of the transverse shaft are fixedly connected to the inner wall of the dome shell, the transverse shaft is sleeved with a second spring, one end of the second spring is fixedly connected to the transverse shaft, and the other end of the second spring is fixedly connected with the conical sleeve. An alarm triggering module is installed on the dome shell, and through the synergistic effect of an I-shaped balancing weight-spring inertia system and a conical sleeve triggering mechanism, the acceleration detection and alarm functions of a pure mechanical structure are achieved.

The invention provides an underwater integrated navigation method and system based on speed prediction, and relates to the technical field of underwater navigation.The underwater integrated navigation method comprises the steps that observation data of an inertial navigation system (INS), a Doppler log (DVL) and a pressure sensor (PS) are obtained, and when the observation speed of the Doppler log (DVL) fails or meets the gross error condition, the pressure sensor (PS) is determined; predicting the observation speed based on the corrected rotating speed of the propeller; based on the observation data, calculating an IMU pre-integration factor, a DVL factor and a PS factor, constructing a factor graph, and fusing the observation data through a factor graph optimization method to obtain a final underwater vehicle state, including position coordinates, speed, attitude, accelerometer and gyroscope zero offset errors; according to the method, the pseudo DVL factor constructed by the speed predicted value replaces the DVL factor to participate in the navigation framework, so that the navigation precision divergence is effectively inhibited in the DVL failure state.

The invention discloses an asymmetric coupling rigidity disturbance type MEMS modal localization accelerometer and a detection method. The accelerometer comprises an upper signal conversion layer and a lower glass substrate layer. The upper signal conversion layer comprises a sensitive mass block, a supporting structure and asymmetrical coupled resonator pairs which are symmetrically distributed. According to the asymmetric coupling resonator pair, a first type resonator and a second type resonator form a weak coupling system through electrostatic coupling, the first type resonator is fixed to a glass substrate layer through anchor points, the second type resonator is fixed to a sensitive mass block, and the first type resonator and the second type resonator meet the mass and rigidity asymmetric relation. When being subjected to the acceleration effect, the sensitive mass block generates micro displacement, changes the static coupling rigidity and triggers the modal localization effect, so that the amplitude ratio of the two resonators is changed, and acceleration measurement is realized by detecting the amplitude ratio change. By adopting the asymmetric structure, the sensitivity of the accelerometer is doubled compared with that of a symmetric structure, and meanwhile, the accelerometer has good linearity and anti-interference capability.

The invention relates to the technical field of equipment state monitoring, in particular to an emergency cut-off valve bolt looseness detection method and system based on multi-modal fusion. The method specifically comprises the following steps of multi-source data synchronous acquisition, accelerometer installation and data processing, environmental adaptability preprocessing, bolt area optical flow feature extraction, Kalman filtering multi-source fusion, bolt looseness detection and loose bolt positioning. According to the emergency cut-off valve bolt looseness detection method based on multi-modal fusion, online, automatic and real-time accurate monitoring and early warning are achieved, the reliability and the anti-jamming capability of the system are remarkably improved, a high-precision and quantifiable objective diagnosis result is provided, good economical efficiency and large-scale deployment feasibility are achieved, and the method is suitable for popularization and application. The industrial pain point that a traditional contact type sensor scheme is difficult to apply to an industrial site with a large number of bolts in a large scale due to too high cost and technical complexity is effectively solved.

The invention relates to the technical field of angular velocity measurement, and discloses a drilling tool rotating body angular velocity measurement method, system and device and a storage medium, and the method comprises the steps: generating a compensation database of the incidence relation between temperature gradient data and angular velocity deviation data; an asymmetric elastic supporting structure is installed, and energy dissipation parameters are generated; establishing an association rule of the temperature gradient data and the energy dissipation parameters, and generating a dynamic compensation rule under the combined action of temperature and vibration; decomposing the angular velocity deviation data according to a dynamic compensation rule to generate a dynamic compensation amount, and adjusting weight distribution of temperature and vibration intensity in the dynamic compensation amount through an acquired accelerometer feedback signal; and continuously injecting the adjusted dynamic compensation amount into a drift correction loop to enable the corrected gyroscope output signal and the accelerometer feedback signal to form closed-loop control, and maintaining stable output of the angular velocity measurement value of the rotary body through autonomous iterative optimization of a dynamic compensation rule. According to the invention, the angular velocity measurement precision and stability can be improved.

The invention discloses ground penetrating radar equipment based on an all-wheel-drive unmanned aerial vehicle and an underground geological three-dimensional map construction method, and relates to the technical field of three-dimensional map construction. The invention aims to solve the problems of terrain information perception distortion, difficulty in constructing a three-dimensional geologic model which is fused with terrain information and has space authenticity and the like caused by vehicle bumping and inclination in the prior art of integrating a ground penetrating radar into an intelligent unmanned vehicle platform for underground detection. According to the integrated structure design of the all-wheel-drive unmanned aerial vehicle integrated ground penetrating radar, the attitude of the whole unmanned aerial vehicle is kept stable when the unmanned aerial vehicle carries the radar for flight operation, data loss and noise introduction caused by attitude jitter of the unmanned aerial vehicle in the radar acquisition process are reduced, and a data foundation is laid for subsequent accurate three-dimensional geological map construction. According to the multi-sensor fusion method, the absolute precision of RTK, the high resolution of laser ranging and the dynamic response characteristic of an accelerometer are fully utilized, and the centimeter-level absolute position of the unmanned aerial vehicle, the height of the unmanned aerial vehicle to the ground and the absolute altitude of the ground surface below a scanning point are obtained. According to the invention, decoupling control of six degrees of freedom corresponding to the full-drive unmanned aerial vehicle is realized, so that the unmanned aerial vehicle can fly close to the rugged topography, and automatic and full-coverage scanning path flight is carried out with a constant ground clearance and a stable attitude.

The invention discloses a positioning and attitude determination method and device integrating Beidou navigation and inertial navigation, and relates to the technical field of attitude measurement, the method comprises the following steps: correcting a gyroscope error by using an accelerometer error and a magnetometer error based on proportional integral operation to obtain a gyroscope output after error correction; using the gyroscope output after error correction to update the quaternion of the moving object, using the quaternion to calculate the attitude, and obtaining the attitude angle of the moving object under the carrier coordinate system calculated through inertial navigation; moving object positioning and attitude determination calculation is carried out by using the time difference of the satellite carrier phase double differences between the double BDS receivers and the different groups of satellites, and the attitude angle of the moving object under a carrier coordinate system calculated through Beidou satellite navigation is obtained; and performing Kalman filtering fusion on the attitude angle calculated by inertial navigation and the attitude angle calculated by Beidou satellite navigation to obtain a final attitude angle. The method can adapt to a dynamic environment, and the attitude measurement precision is improved.

An accelerometer includes a housing, a proof mass assembly encased in the housing, and one or more heating elements configured to heat the proof mass assembly in response to an electrical current. The one or more heating elements include a positive temperature coefficient of resistance (PTC) material. The PTC material exhibits a relatively high increase in resistance above a threshold temperature. For example, a ratio of the resistance of the PTC material above the threshold temperature to the resistance of the PTC material at room temperature (PTC ratio) is greater than five.

The invention provides a friction stir welding device based on a high-speed motorized spindle and a control method of the friction stir welding device, and belongs to the technical field of friction stir welding devices.The friction stir welding device comprises a high-speed permanent magnet synchronous motor, a coupler and a stirring head, and the high-speed permanent magnet synchronous motor directly drives the stirring head through the flange type rigid coupler; a non-contact eddy current displacement sensor and a three-axis vibration accelerometer are installed on a motor rotating shaft, the deflection and vibration frequency spectrum of a rotor are collected in real time, a rotor stirring head integrated finite element model is arranged, and a critical rotating speed area is recognized. The method adapts to the harsh space constraint smaller than or equal to 150 mm in an aero-engine cabin; whole life cycle verification shows that the fatigue life of the rotor breaks through 1.07 * 10 times of circulation, and leap-type upgrading from vibration instability-heat accumulation defect manufacturing to high-stability zero-defect manufacturing is achieved.

The invention relates to an internal rotation brushless motor for a treadmill, in particular to the technical field of motors for treadmills, a driving shaft is arranged at the center of a motor shell in a penetrating mode, the driving shaft is connected with the motor shell through a ball bearing, and rotor iron cores are arranged on the two sides of the middle of the driving shaft; the middle parts of the two groups of rotor cores are provided with permanent magnets, the inner wall of the motor shell is connected with a stator assembly, the back part of the stator assembly is provided with a tunnel reluctance element, the outer wall of one side of each rotor core is fixedly connected with a multi-pole magnetic coding ring, one side of the tunnel reluctance element is provided with a micro-electro-mechanical inertial measurement unit, and the outer wall of the rotor core is fixedly connected with a motor shell. The multi-pole magnetic coding ring fixed on the rotor side generates space magnetic field change, the tunnel magnetic resistance element array arranged in the circumferential direction captures magnetic field signals in real time, the Kalman filtering algorithm is fused with magnetic position signals, and detection errors caused by mechanical vibration are eliminated.

An acceleration sensor circuit is disclosed. The acceleration sensor circuit includes a package; an accelerometer to generate acceleration data samples during a peak tracking window; a sample register, to store the acceleration data samples; an acceleration calculation digital circuit, to calculate an acceleration magnitude sample based on the stored acceleration data samples; a peak register, to store a current peak acceleration value; a sample compare circuit, to compare the acceleration magnitude sample to the current peak acceleration value, where the peak register is configured to replace the current peak acceleration value with the acceleration magnitude sample in response to the sample compare circuit determining that the acceleration magnitude sample is greater than the current peak acceleration value; and a memory, configured to store the current peak acceleration value, and to transmit the current peak acceleration value to an external circuit in response to an end of the peak tracking window.

The invention discloses a coal mine elevator cage attitude estimation method based on improved extended Kalman filtering, which comprises the following steps of: firstly, acquiring original data of an accelerometer and a gyroscope, establishing a six-dimensional joint state estimation vector, constructing a nonlinear discrete state equation and an observation equation, and realizing observation updating under an extended Kalman filtering framework; calculating a filtering residual error and a covariance, introducing a residual error chi-square test mechanism, dynamically and adaptively correcting a process noise covariance matrix and an observation noise covariance matrix, simultaneously introducing gyroscope zero offset attenuation and a virtual observation mechanism to apply weak constraint to a yaw angle, and through a prediction-update-correction iteration process, calculating the yaw angle. Real-time and high-precision estimation of the attitude angle of the cage is realized; the method has higher attitude calculation precision and stability under complex working conditions of cage acceleration, sudden stop, strong vibration and the like, and the reliability and safety of a coal mine elevator cage attitude monitoring system can be remarkably improved.

A handheld device for sonifying electrical signals obtained from a subject is provided. The device can utilize at least one of several operations including (but not limited) digitizing signals from electrodes, adjusting the signals based on accelerometer input, filtering the signals, conditioning the signals according to conditioning parameters, modulating the signal according to sound synthesis parameters, and generating sound from the representations of the signals to accomplish sonification. The device can include an analog-to-digital (A / D) converter to digitize the one or more electrical signals and a processor that receives the one or more digitized electrical signals and produces a representation of an acoustic signal. The device further includes a speaker system that sonifies the representation of the acoustic signal.

A system and method for swimmer safety that may utilize a wearable device configured to be worn by a swimmer and at least one alert device. The wearable device may include a water contact sensor, an accelerometer, a range detector with Bluetooth Low Energy (BLE) transmitter, a battery, and a real-time state management controller. The water contact sensor may determine when surrounding water exceeds a predetermined water contact threshold. The accelerometer may detect falls. The range detector may determine when the swimmer moves out of range. The controller may receive inputs from these components, manage operational states, and generate real-time state data. The wearable device may transmit alerts upon detecting at least one critical event such as, water contact, a fall, the wearable device being out of range, or low battery.

The invention discloses a multi-axial mechanical accelerometer and a measuring method, and relates to the technical field of mechanical accelerometer equipment.The multi-axial mechanical accelerometer comprises a dome shell, a touch type alarm is installed in the dome shell, a transverse shaft is installed in the dome shell in the radial line direction of the dome shell, and the transverse shaft is sleeved with a conical sleeve; the conical sleeve is in sliding fit with the transverse rod, and the transverse shaft is sleeved with a first reset spring used for driving the conical sleeve to be close to the touch type alarm. The first base is installed at the bottom of the dome shell, a limiting assembly used for limiting the conical sleeve to move in the radial line direction is installed in the bottom of the first base, and the limiting assembly can move in the axis direction in the first base; when the multi-axial mechanical accelerometer works, acceleration signals in the axial direction and acceleration signals in the axial direction of other intersecting coordinate systems are responded, acceleration values in the axial direction of the multi-axial mechanical accelerometer are measured, an over-limit alarm state is indicated, and an alarm signal is output.

The invention discloses a method for identifying an early performance behavior of a pig epidemic disease based on a three-axis attitude angle, and belongs to the technical field of intelligent breeding and livestock and poultry health monitoring. According to the method, a wearable device integrated with a gyroscope is worn on the head of a pig, and three-axis attitude angle signals such as a yaw angle (Yaw), a pitch angle (Pitch) and a roll angle (Roll) of the pig are collected in real time. And carrying out sliding processing on the continuous attitude angle data according to a set time window, extracting behavior characteristic parameters, and carrying out comprehensive identification on behavior performance in the early stage of the suspected epidemic disease in combination with behavior chain pattern identification, individual-group comparative analysis, continuous trend monitoring and an abnormal scoring mechanism. The method does not depend on other sensors such as an accelerometer, an image, a sound or a body temperature sensor, only takes the attitude angle as a unique input signal source, has the advantages of low power consumption, light model weight, convenient deployment and suitability for edge recognition, can quickly find out an individual with abnormal behavior in the early stage of epidemic diseases, realizes intelligent early warning earlier than definite diagnosis, and has a good application prospect. The method is suitable for epidemic disease prevention and control and fine management of various large-scale pig farms.

The invention provides an AD accelerometer acquisition module loop zero offset compensation method based on a table look-up method, and the method comprises the following steps: building a zero offset database, and storing the zero offset data of an AD accelerometer at different temperature points in the database; acquiring parameters of the AD acceleration acquisition module at different temperature points: acquiring the working temperature of the AD acceleration acquisition module in the actual working process of the AD acceleration acquisition module; performing zero offset compensation by using a zero offset data performing matching search on the acquired working temperature and the pre-established zero offset database to obtain a zero offset compensation value of the AD acceleration acquisition module so as to obtain an actual measurement value of the AD acceleration acquisition module; the measurement accuracy of the AD acceleration acquisition module is effectively improved, and the influence of zero offset on the system performance is reduced.

The invention discloses a noise reduction processing method and device, a vehicle and a storage medium, and relates to the technical field of intelligent cabins, and the method comprises the steps: carrying out the recognition based on an error signal and an accelerometer signal of the vehicle, and obtaining a noise scene where the vehicle is located; decomposing the accelerometer signal into a plurality of sub-band signals which are not overlapped with one another; for each sub-band signal, determining a noise reduction processing parameter corresponding to each sub-band signal based on the energy analysis and noise scene of the sub-band signal; based on the noise reduction processing parameter corresponding to each sub-band signal, performing adaptive filtering on each sub-band signal in combination with the error signal to obtain a noise reduction signal corresponding to each sub-band signal; and carrying out fusion reconstruction on the noise reduction signals corresponding to the plurality of sub-band signals to obtain a full-band noise reduction signal. According to the invention, adaptive filtering and noise reduction are carried out on each sub-band signal based on the noise scene where the sub-band signal is located, efficient division and treatment and response can be carried out on complex and multi-spectral structure noise, the noise reduction effect is improved, and the vehicle use experience feeling of a user is further improved.

The invention discloses an MOMES accelerometer based on light intensity modulation, and belongs to the technical field of micro-electro-mechanical systems and inertial measurement. The MOMES accelerometer comprises a silicon-based base, a mass block, a fixed anchor point, an elastic beam assembly and a double-photoelectric detector. The mass block is hung on the silicon-based base through the elastic beam assembly and the fixed anchor point, the fixed anchor point is fixed on the surface of the silicon-based base, and the fixed anchor point is connected with the elastic beam assembly; the center of the mass block is provided with a light hole which completely penetrates through the thickness direction. And the double photoelectric detector is fixed on the surface of the silicon-based base and is positioned in a light projection area of the light hole. When the accelerometer is subjected to the action of external acceleration along the Y-axis direction, the rectangular mass block generates displacement relative to the silicon-based base, so that the light intensity distribution of a light spot projected by the light hole on the double photoelectric detector generates differential change; the accelerometer has the advantages of high sensitivity, strong anti-interference capability, good process compatibility and the like, and is suitable for high-precision inertial measurement.

A system for condition-based monitoring of an automated storage and retrieval system includes a framework structure forming a three-dimensional storage grid structure for storing storage containers for storing items. The grid structure forms vertical storage columns each having a horizontal area defined by the size of an access opening of the vertical storage columns. The framework structure includes a rail system arranged above the storage columns. The rail system includes a plurality of rails extending in an X-direction and a Y-direction to form a grid. The rails define a perimeter of each access opening on top of each storage column. The rail system provides available routes in the X-direction or the Y-direction for container handling vehicles handling and transferring the storage containers to and from the storage columns. At least one container handling vehicle has two or more sensors, directed to monitor a section of the rails adjacent of the container handling vehicle. The sensors are part of a monitoring system set up to report a condition of the rails of the grid system and uploading the information to one or all of a central computer system, a cloud system, and / or an image analysis and processing system. The two or more sensors are at least one camera and a pendulum, and / or a level, and / or an accelerometer, and / or a sound detecting device.

The invention relates to a clamping device and method for deburring of solar new energy vehicle plate stamping parts, and belongs to the technical field of deburring machining and clamping of solar new energy vehicle plate stamping parts. The global contour scanning mechanism is fixedly mounted on the base and is used for acquiring global contour data of the stamping part; the reference positioning mechanism is fixedly mounted on the mounting plane and is used for initially positioning the stamping part; the multiple cooperative supporting and clamping units are distributed on the mounting plane in an array mode, each cooperative supporting and clamping unit comprises an electric linear actuator and a sensing head fixed to the top end of the electric linear actuator, and a pressure sensor and a micro accelerometer are integrated in each sensing head; the flexible contact pad at the top of the sensing head is made of elastic materials such as nylon or polyurethane, so that the surface of a workpiece can be prevented from being scratched or indented, and supporting force is uniformly transmitted.

Devices, systems, and methods are disclosed for customizing audio experiences associated with operation of a ridable device. An electronic device having a processor detects contextual information such as speed, acceleration, ambient noise level, environment type, or location of the ridable device. Sensor data from accelerometers, gyroscopes, microphones, cameras, or positioning systems may be processed to identify these conditions. Based on the detected context, the electronic device determines audio configuration parameters, including selection of audio content, adjustment of volume, blending of tracks, or modification of tempo or pitch. The determined parameters are applied to output audio through one or more speakers of the electronic device, the ridable device, or associated accessories. In some implementations, playback is synchronized with other riders using a common time reference, geo-fence triggers are employed to provide location-specific content, or warning sounds are generated when nearby objects are detected, enhancing both rider enjoyment and environmental awareness.