98results about "Acceleration measurement" patented technology

The application discloses a site micro-vibration vibration source identification method based on machine learning, signals measured by acceleration sensors at the edge of a measured site and acceleration sensors at the center of the measured site are processed in sequence, including denoising, transient impact signal extraction, feature extraction, clustering processing of dynamic time warping distance of the transient impact signal based on a feature matrix, GMM modeling, obtaining a model, verifying the number of independent Gaussian components of the model, selecting the number of components with the minimum value as the optimal model according to the Akaike information criterion value, and performing maximum a posteriori probability identification on the transient impact signals captured by the sensors; GMM parameter comparison is performed on sets that may belong to the same category, two sets with highly overlapped models are merged into the same set, and the set is used as vibration data sets generated around the site and having an impact on the center position of the site.

Disclosed are method and electronic components for: i) electronically extracting a sequence of values from a measurement signal corresponding to a position of a moving object, wherein the sequence of values indicates the position of the moving object at corresponding time increments; ii) electronically determining at least one of an estimate for a velocity of the moving object and an estimate for an acceleration of the moving the object based on a plurality of the values in the sequence of values; and iii) electronically correcting a value in the sequence of values to substantially reduce the effect of processing and signal delays based on one or both of the velocity and acceleration estimates.

Methods, systems, and devices for temperature-dependent charging of supercapacitor energy storage units of asset tracking devices are provided. An example method for temperature-dependent charging involves obtaining a temperature reading measured at an asset tracking device (1302), the asset tracking device located at an asset to monitor travel of the asset, determining a target voltage for a supercapacitor energy storage unit of the asset tracking device based on the temperature reading to balance utilization of a capacity of the supercapacitor energy storage unit against temperature-dependent deterioration of the supercapacitor energy storage unit (1304), and controlling a charging interface of the asset tracking device to charge the supercapacitor energy storage unit to the target voltage (1306).

A MEMS transducer includes a deflectable membrane where the deflectable membrane includes two first layers and a second layer arranged between the two first layers. The two first layers comprise low-stress silicon nitride, and the second layer comprises doped silicon.

Providing impact detection programs and the like that can accurately detect impacts to a vehicle using portable devices brought into the vehicle's interior. [Solution] The smartphone 10 and application server 50 execute an impact detection program in their respective processing units 11 and 51, and detect an impact on the vehicle Am based on the acceleration measured by the smartphone 10 brought into the vehicle cabin. The smartphone 10 acquires measured values ​​of the acceleration in three axes, which are measured repeatedly. The application server 50 prepares composite quantiles, which are multiple quantiles at a predetermined time, for the composite acceleration obtained by combining the accelerations in three axes. The application server 50 detects an impact based on a comparison between each composite quantile and a detection threshold associated with each of the multiple composite quantiles.

The application discloses an acceleration sensor and a manufacturing method thereof. The acceleration sensor comprises a first capacitor, a second capacitor, a third capacitor and a fourth capacitor on a substrate. The first capacitor comprises a second detection mass and a first detection electrode. The second capacitor comprises a first detection mass and a first detection electrode. The third capacitor comprises a second detection mass and a second detection electrode. The fourth capacitor comprises a first detection mass and a second detection electrode. The first detection electrode and the second detection electrode are located between the first detection mass and the second detection mass and are independent of each other and located in the same plane. The application forms a full-bridge capacitor detection structure by the first detection mass, the second detection mass, the first detection electrode and the second detection electrode located between the first detection mass and the second detection mass, which can effectively reduce parasitic capacitance, optimize noise, improve stability and sensitivity.

A microelectromechanical sensor (100) is described comprising a substrate (110), a stationary electrode arrangement (120) relative to the substrate (110) with several stationary finger electrodes (122, 124) arranged one behind the other in a detection direction (y), and a mass arrangement (130) with a first seismic mass (140) that is elastically deflectable relative to the substrate (110) in the detection direction (y) and that comprises a first movable electrode arrangement (150) of several movable finger electrodes (151), and a second seismic mass (160) that is elastically deflectable relative to the substrate (110) in the detection direction (y) and that comprises a second movable electrode arrangement (170) of several movable finger electrodes (171). wherein the finger electrodes (151) of the first movable electrode arrangement (150) and the finger electrodes (171) of the second movable electrode arrangement (170) are each alternately in combing engagement with the finger electrodes (122, 124) of the stationary electrode arrangement (120), wherein the mass arrangement (130) further comprises a coupling device (180) mechanically connecting the first seismic mass (140) with the second seismic mass (160) in a manner capable of movement, which is configured to cause a deflection of the first seismic mass (140) in a corresponding deflection of the second seismic mass (160) in the respective opposite direction.

A method comprising: receiving a first waveform based on robot sensing using a wireless sensor; determining whether a first value of a first peak of the first waveform exceeds a first threshold; determining whether the first waveform represents a first vibration signature; and performing a predictive maintenance analysis of the robot if the first value exceeds a first threshold or if the first waveform represents a first vibration signature, wherein the first waveform represents a first acceleration during a first period.

A gradio-gravimeter comprising at least two vehicles (V1, V2), each with an inertial measurement unit (IMU1, IMU2) and a control unit (COM1, COM2) for guiding the vehicles along trajectories with separate segments for performing IMU flips and coupled segments for exchanging inertial measurements. At least one of the electronic control units is configured to determine, notably from the exchanged measurements: a transition matrix between inertial frames, a correction of linear acceleration measurements using an observed accelerometric model, a correction of angular velocity measurements using an observed gyrometric model, and a gravitational field gradient. Navigation system comprising such a gradio-gravimeter. FIGURE IN ABRIDGED DIAGRAM: Fig. 1

This application relates to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for detecting transformer vibration faults. The method includes: acquiring core vibration signal values ​​and winding vibration signal values ​​collected at least once within a preset fault detection period; determining the initial vibration acceleration value of the transformer at each fault detection time based on the core vibration signal value and winding vibration signal value corresponding to each fault detection time using a transformer vibration physical model; performing physical model detection error compensation on each initial vibration acceleration value to obtain a target vibration acceleration value of the transformer at each fault detection time; and performing vibration fault detection on the transformer based on the target vibration acceleration values. This method can improve the accuracy of transformer vibration fault detection.

The application discloses a kind of active NFC-based touchless material transportation data acquisition and protection system, it is related to logistics monitoring equipment technical field, including monitoring host module, active NFC module and waterproof and installation structure module;Wherein, monitoring host module includes the transport monitoring host (100) being set in the shell inside, acceleration sensor module (101), storage module (104) and power module (105) are integrated in transport monitoring host (100) micro-control unit MCU (102), monitoring host module is used to collect vibration, impact and inclination data in the process of material transportation and the data is locally stored and managed, active NFC module is integrated in the inside of transport monitoring host in the application and cooperates with wave-transparent waterproof structure, task creation, equipment automatic identification, touchless firmware upgrade, real-time data viewing and historical data export are all transferred to mobile phone NFC radio frequency link, under the condition of maintaining IP67 waterproof level, touchless interaction of whole process of material transportation is realized.

The present application provides a kind of blood pressure measurement value correction method and device, it is related to biomedical signal processing technical field.The present application synchronously acquires sleeve pressure signal, photoelectric volume pulse wave signal, electrocardiogram signal, biological impedance signal and three-axis acceleration signal and other multi-modal physiological signals;Time stamp alignment and preprocessing are carried out to the signal, and original pulse wave conduction time is extracted;Motion interference, sleeve fit interference, heart rate variation interference and vascular tension interference and other interference indexes are extracted from multi-modal signal, and interference degree vector is formed and measurement quality grade is evaluated;Pulse wave conduction time is dynamically corrected based on interference degree vector;Individualized pulse wave conduction time and blood pressure corresponding relationship model is established, and first blood pressure measurement value and its confidence are calculated;Oscillography is used to obtain second blood pressure measurement value and estimate its error range;Adaptive weight coefficient is determined according to confidence and error range, and blood pressure value is corrected in combination with measurement quality grade.

This invention relates to a method for evaluating the state of a sensor, wherein the sensor has a deflectable micromechanical sensor structure for detecting physical input parameters and converting the physical input parameters into electrical sensor signals, wherein the environmental medium of the sensor directly or indirectly affects the micromechanical sensor structure, and wherein the micromechanical sensor structure can be deflected by an excitation signal. The method includes the following steps: generating an excitation signal using a driver unit, wherein the excitation signal has at least an amplitude variation; outputting the excitation signal to the micromechanical sensor structure; deflecting the micromechanical sensor structure by the excitation signal; detecting the response behavior of the micromechanical sensor structure in response to the excitation signal; comparing the response behavior with reference behavior to determine a deviation measure of the response behavior relative to the reference behavior; and evaluating the state of the sensor in terms of the presence of deposits based on the deviation measure. The invention also relates to a sensor system and a method for operating the sensor system.

Small form-factor MEMS devices and methods of using the devices. An exemplary MEMS device includes an ACM. Certain devices comprise nanometer scale sensing gaps in the out-of-plane direction to increase vibration sensitivity in a vacuum casing. Certain devices described herein provide a differential sensing mechanism. Accelerometer contact microphones having an operational bandwidth ranging from 0 Hz and 10,000 Hz are also disclosed. The vibration acceleration sensitivity of certain devices described herein is better 100 μg√Hz.

Sensor unit (1) comprising a first semiconductor device (10) and a second semiconductor device (20), wherein the first semiconductor device (10) has a first substrate (11) and a sensor structure (12), wherein the second semiconductor device (20) has a second substrate (21), wherein the first and second semiconductor devices (10, 20) are connected to each other via a wafer connection (40), characterized in that the sensor unit (1) has a decoupling structure (50) configured such that the sensor structure (12) is thermomechanically and / or mechanically decoupled from the second semiconductor device (20), wherein the decoupling structure comprises at least one membrane element (55) spanning a cavity (56) in the layer structure of the first semiconductor device (10) and formed in the region above the wafer connection (40).

A system of a first vehicle automatically exchanging collision reports with a second vehicle is provided. The vehicle system includes a collision detection verification module in electrical communication with a plurality of sensors and a vehicle database. The collision detection module detects whether a collision event has occurred between the first vehicle and the second vehicle based on the sensed vehicle data acquired, broadcasts a first collision message when the collision event has occurred, and exchanges, with the second vehicle, a first collision report for a second collision report based on the first collision message. The first collision report includes a first driver insurance information associated with the first vehicle and the second collision report includes a second driver insurance information associated with the second vehicle.

The present invention provides an attitude control device that can acquire acceleration in the forward / backward and left / right directions of a moving object without using an acceleration sensor, and perform attitude control based on the obtained acceleration. [Solution] The attitude control device of the embodiment includes, as an example, a calculation unit that calculates acceleration in the longitudinal direction using the weight of the moving body and the braking driving force, acceleration in the lateral direction using the vehicle speed and the turning radius, and calculates the target base angle in the longitudinal direction using the acceleration in the longitudinal direction, and the target base angle in the lateral direction using the acceleration in the lateral direction.

This disclosure relates to a detection device, method, and vehicle for vehicle sheet metal parts. By using a capacitive sensing component and an accelerometer to detect preset detection positions of the vehicle sheet metal parts, it can accurately identify the damage state of the sheet metal parts caused by external impact. At the same time, it can avoid misjudgments caused by factors such as vibration when the door is opened and closed. It can also identify excessive deformation displacement of the sheet metal parts, and realize the detection of abnormal deformation caused by external force when the vehicle is not open.

Embodiments detect one or more events on an electrical grid. Embodiments use a sensor installed at an edge of the electrical grid to generate a sensor waveform at a first sampling rate corresponding to current and / or voltage signals. Embodiments transform the sensor waveform into multiple frequency bands and digitize the multiple frequency bands at a second sampling rate that is lower than the first sampling rate. Embodiments receive, by a pattern recognition machine learning algorithm at the edge, the digitized multiple frequency bands for events and predict, using the ML algorithm, an occurrence of the one or more events.

A battery impact measuring method is a method for measuring an impact on a battery, including the steps of a main control unit (MCU) storing a previous operation mode of a battery system in a first area of a memory, the MCU storing a current operation mode of the battery system in a second area of the memory, the MCU determining whether the operation mode stored in the first area and the operation mode stored in the second area are identical to each other, if the operation mode stored in the first area and the operation mode stored in the second area are different from each other based on the determination result, the MCU storing a change flag as a first value in a third area of the memory, if the operation mode stored in the second area is a sleep mode and the change flag is the first value, the MCU receiving an acceleration sensor signal from an acceleration sensor, and if the operation mode stored in the second area is not the sleep mode, the MCU receiving the acceleration sensor signal from the acceleration sensor.

An electronic device according to an embodiment of the present disclosure may comprise a display, a back cover, a digitizer module, a wireless charging coil, a magnetic field sensor, at least one processor, and a memory for storing instructions. The instructions, when executed individually or collectively by the at least one processor, cause the electronic device to: correct, on the basis of the strength of a magnetic field sensed by the magnetic field sensor, data of a digitizer sensor for one area of the digitizer panel extending along the winding direction of the wireless charging coil; and display, by using the display, an image on the one area of the display calculated on the basis of the corrected data.

This invention discloses a triaxial accelerometer installation device and a motion attitude monitoring method for a vibratory impactor. The device includes a vibratory impactor, sensors, armored cables, a main cable, a reel, an electric slip ring, and a data acquisition instrument. A pair of sensors are arranged at the head and middle of the vibratory impactor, each sensor connected to an armored cable. All armored cables pass through a vibration damper along the head or middle of the vibratory impactor and connect to the main cable at the tail of the vibratory impactor. The main cable is wound on the reel and electrically connected to the electric slip ring. The control cable core within the main cable is connected to the data acquisition instrument. The method involves the sensors sensing the vibration characteristics of the installation location, converting them into signals, and transmitting them to the data acquisition instrument through the control cable core and the main conductive cable core. The data acquisition system is then activated to monitor the signals in real time and analyze them to determine the motion attitude of the vibratory impactor during operation. This invention can operate in extreme environments with strong vibration and underwater high pressure, and can stably monitor the motion attitude of the vibratory impactor in real time and independently record effective data over a long period.

The application relates to a kind of earthquake response prediction control systems for multi-storey building structure, comprising: physical layer, including sensor group and actuator group, sensor group is collected and uploaded by being laid on multi-storey building structure sensing data, and control instruction is received to control actuator group;Data layer, after receiving sensing data, carry out time alignment preprocessing and upload to digital layer;Digital layer, set for carrying out earthquake response prediction edge computing node, and for carrying out earthquake response prediction model calibration in edge computing node, whole life cycle data management and digital twin model generation cloud computing platform;Service layer, structure damage assessment, safety warning and management control instruction generation, issue to control layer;Control layer, according to the control instruction issued, to actuator group carries out closed-loop control.Compared with prior art, the application has the advantages of high real-time, high prediction accuracy, high reliability and the like.

This invention discloses a miniature beam-splitting optical path system for atomic interferometry, comprising a main optical path and primary and secondary reflection sub-paths. Laser light is input into the main optical path after purification and polarization, and then split by a half-wave plate and a polarizing beam-splitting prism. The split beam consists of a primary reflection and a secondary reflection generated by the secondary reflection, which passes sequentially through a quarter-wave plate and a 0° mirror and re-enters the polarizing beam-splitting prism. The primary and secondary reflections then enter their respective sub-paths for further splitting. Independently adjustable right-angle prisms and polarizing beam-splitting prisms within the sub-paths eliminate the influence of the incident direction of the light entering subsequent optical paths. This miniature beam-splitting optical path system and method can output multiple laser beams with consistent polarization, adjustable power and frequency. It can be input and output via fiber optic couplers, and is suitable for atomic interferometry and other fields. It improves the efficiency of laser energy utilization and the stability of laser parameters, easily maintains symmetrical optical path distribution, and enhances system integration.

This invention discloses a method for stabilization and dynamic voltage saturation prevention based on MTPA / MTPV lookup table, comprising the following steps: Step 1: Filtering out loop disturbances using a conventional low-pass filter, determining the speed fluctuation period based on the actual vehicle vibration, and simultaneously determining the cutoff frequency of the low-pass filter; Step 2: Calculating the system delay time t using the cutoff frequency of the filter in Step 1, and calculating the system acceleration; Step 3: Obtaining the delay compensation speed Vc of the system to be compensated using the delay time t and acceleration a from Step 2; Step 4: Adding the delay compensation speed Vc from Step 3 to the speed Vf output by the low-pass filter to obtain the final lookup table speed V; This invention stabilizes the lookup table and compensates for the delay caused by the filter in dynamic operating conditions, avoiding voltage saturation.