24 results about "Three axis accelerometer" patented technology

The present disclosure provides a kind of inertial motion measurement double-axis rotation excitation enhancement method and system based on observability analysis.First, the system state space model of introducing double-axis rotation mechanism is constructed, the normalized observability analytical expression of sensor error under zero speed condition is derived based on Gramian matrix eigenvalue decomposition;Accordingly, the attitude condition of error observability maximization is determined, and the optimal rotation excitation strategy including a series of optimal observation positions is set;In the process of inertial navigation positioning assisted by zero speed update ZUPT, in non-zero speed interval, based on the optimal rotation excitation strategy, the IMU is sequentially guided to each optimal observation position by controlling double-axis rotation mechanism, to solve the problem of low error state observability caused by single carrier attitude in zero speed correction.The present application can realize full state high-precision estimation of three-axis accelerometer bias and gyroscope zero bias, effectively improve the precision and robustness of autonomous motion measurement in complex environment.

The intelligent positioning and tracking device comprises a cap body, a three-axis magnetometer is fixedly connected to the front end of the left side of the cap body, a positioner is fixedly connected to the rear end of the left side of the cap body, and a three-axis accelerometer is fixedly connected to the front end of the right side of the cap body. And the rear end of the right side of the cap body is fixedly connected with a three-axis gyroscope. A worker wears the helmet body on the head, the first binding belt and the second binding belt can be firmly connected under the cooperation of the nylon velvet belt and the nylon hook belt, the three-axis accelerometer, the three-axis magnetometer, the three-axis gyroscope and the positioner are arranged, the position information of the worker can be positioned in real time, and the working efficiency is improved. A methane sensor, a carbon monoxide sensor, an oxygen concentration sensor, a temperature and humidity sensor, a dust concentration sensor and a microseismic monitoring sensor are arranged, and the methane concentration, the carbon monoxide concentration, the oxygen concentration, the temperature and humidity information, the dust concentration and the vibration condition in the environment can be detected respectively.

The application relates to an angle calibration solution method and system of a tilt sensor. Compared with the prior art, the method comprises the following steps: 1) collecting three-axis original acceleration data output by a three-axis accelerometer and performing filtering processing; 2) adopting a six-position calibration method to perform calibration; and 3) adopting a segmented combination angle solution method to calculate the included angle between the X axis and the Y axis of the tilt sensor relative to a horizontal plane. The application has the advantages of high accuracy and high precision in full-range measurement, smooth angle output, high calibration efficiency and the like.

This invention belongs to the field of inertial measurement technology, specifically an inertial measurement unit and its linear-angular coupling motion calibration method. It includes constructing a non-contact inertial measurement unit linear-angular motion synchronous measurement system. Through a reference cubic prism, a three-dimensional laser vibrometer, a first dual-axis autocollimator, a second dual-axis autocollimator, and a data acquisition module, an attitude transformation matrix is ​​established from the cubic mirror coordinate system to the inertial measurement unit coordinate system. By synchronously triggering the inertial measurement unit, based on the outputs of a three-axis gyroscope and a three-axis accelerometer, the three-axis acceleration measured by the three-dimensional laser vibrometer in the inertial measurement unit coordinate system, and the three-axis angular velocity of the inertial measurement unit measured by the dual-axis autocollimator, the linear-angular coupling motion of the inertial measurement unit is calibrated. This invention avoids the influence of vibration on the accuracy of the measurement system and solves the problem of difficulty in dynamically tracking and monitoring the actual motion of the inertial measurement unit during vibration.

The application relates to the technical field of monitoring, and particularly discloses a self-sensing and early-warning seamless expansion joint based on a flexible MEMS sensing array, which comprises a flexible sensing array module and a data concentrator; the flexible sensing array module is composed of a high-performance elastomer base body, a MEMS sensor array embedded in the base body and a flexible printed circuit; the MEMS sensor array is composed of a plurality of sensing nodes distributed in a grid-shaped dot matrix form, each sensing node is integrated with a three-axis MEMS accelerometer, a MEMS temperature sensor, a MEMS strain gauge and a MEMS microphone; the application endows the seamless expansion joint with real-time, multi-dimensional and self-diagnostic intelligent monitoring capability through the cooperation of hardware integration and algorithm innovation; the integrated module of the flexible base body and the multi-parameter MEMS sensing array solves the problem of long-term reliable cooperative work of the sensor and the flexible deformation body, and realizes the synchronous intensive sensing of multiple physical fields such as temperature, strain, vibration and sound.

This invention belongs to the field of electronic device control technology, specifically a multi-scenario adaptive headphone control system, including a multimodal sensing module, a state fusion and recognition module, a scene adaptive decision-making module, and a dynamic audio control module. By integrating a pressure sensor array, an infrared proximity sensor, a three-axis accelerometer, and a microphone array to form the multimodal sensing module, it can capture subtle state changes of the headphones from multiple dimensions such as pressure distribution, physical distance, motion posture, and acoustic environment. The state fusion and recognition module adopts a classification model based on a multilayer perceptron to deeply fuse and intelligently recognize data from multiple heterogeneous sensors, achieving high-precision and high-reliability differentiation of various physical states such as removal / placement, loose wearing, and tight wearing, fundamentally avoiding control mis-triggering problems caused by state misjudgment.

This invention concerns an innovative method and device for recording and analyzing road surface smoothness, implemented via a telematics device-main unit (1) installed on a transport vehicle [e.g., truck, bus, etc.] (7) performing independent tasks, such as waste collection, goods transportation, passenger transport, or surveillance. The telematics device - main unit (1) records acceleration [vertical - longitudinal - lateral] (8) and angular velocity through the integrated three-axis accelerometer (2), gyroscope (3), and GPS receiver. Subsequently, the processor-controller (6) correlates the data with geographic coordinates and transmits them via the cellular communication module (5) to the cloud-based computing platform (9), where data is visualized on a GIS map with color-coded smoothness indicators, alert algorithm output, and administrative classification [Municipality, Region, Highway] (10). The device automatically calculates the vertical axis when the vehicle is stationary, regardless of the mounting orientation. It further applies corrections in cases of high longitudinal or lateral acceleration by filtering out vibrations unrelated to road surface degradation. The platform displays the latest measurements for each point, maintains historical records, and activates alerts only when new wear or damage is detected. The data is categorized into geographic units (municipalities, regions, highways), enabling the production of statistical and comparative reports per area, thereby supporting evidence-based planning and prioritization of maintenance interventions.

This utility model belongs to the field of unmanned aerial vehicle (UAV) technology and relates to a fiber optic integrated navigation device. The device includes a housing, within which an inertial measurement unit (IMU) is housed. The IMU comprises a three-axis embedded fiber optic gyroscope assembly, which is detachably connected to the housing. A three-axis accelerometer is connected to the bottom of the three-axis embedded fiber optic gyroscope assembly. This utility model adopts a three-axis integrated structure, highly integrating the fiber optic gyroscope assembly, accelerometer, satellite navigation module, and processing circuitry into a compact housing. The components are modularly assembled through detachable connections, significantly reducing size and weight, and adapting to installation requirements in space-constrained scenarios such as aircraft center of gravity. Through miniaturization, high integration, multi-source fusion, and environmental adaptability, this device overcomes the limitations of traditional fiber optic inertial navigation, providing high-precision, high-reliability, and low-cost fiber optic inertial navigation for aviation, maritime, and other fields.

The application discloses a closed-loop control system, method and host of a non-invasive time interference stimulation system, the system comprising a plurality of surface electrodes, a control unit, a monitoring unit. The control unit is electrically connected with the plurality of surface electrodes, for driving at least two surface electrodes to generate high-frequency alternating current with first frequency and second frequency having a preset difference frequency; the monitoring unit comprises an upper limb sensor and a lower limb sensor, the upper limb sensor being a three-axis accelerometer, and the lower limb sensor being a three-axis accelerometer and a three-axis gyroscope; the monitoring unit is used for processing data from the accelerometer and the gyroscope in real time to calculate at least one kinematic index; the control unit is used for dynamically adjusting at least one stimulation parameter in a closed-loop manner based on the kinematic index. The application dynamically adjusts the stimulation parameter in a closed-loop manner based on real-time kinematic index, solving the problem that the prior art cannot perform real-time feedback adjustment based on limb movement output.

The utility model discloses a multifunctional movable hoisting and unloading platform, including steel structure platform, weighing sensor, inclination sensor and data acquisition terminal, weighing sensor sets up respectively at four bottom corners of steel structure platform, inclination sensor sets up at the bottom central position of steel structure platform, is equipped with three -axis accelerometer and three -axis gyroscope in the inclination sensor, and the both sides of steel structure platform are equipped with steel wire rope mounting plate, and the upper end part of steel wire rope mounting plate is equipped with one through -hole respectively, and data acquisition terminal sets up on the side wall of steel structure platform, and weighing sensor and inclination sensor are electrically connected with data acquisition terminal respectively, and data acquisition terminal is connected with cloud storage server data through 5G communication module, the utility model discloses technical scheme can improve the safety management level of unloading platform significantly, reduces the accident incidence, has improved the use safety of hoisting and unloading platform.

A multidimensional abnormal motion detection system (100) for detecting abnormal movements of a driven tool, comprising: a three-axis accelerometer sensor (104a); a three-axis gyroscope sensor (104b); a three-axis magnetometer sensor (104c); and a processor (114) with a machine learning model (112) that is pre-trained for the driven tool to determine the occurrence of an abnormal movement event of the driven tool, wherein the machine learning model uses time series data received from the accelerometer (104a), the gyroscope (104b) and the magnetometer (104c) to predict the occurrence of the abnormal movement event, wherein the processor activates a reactive device of the driven tool upon prediction of the abnormal movement event.

This invention belongs to the field of inertial measurement technology, specifically an inertial measurement unit and its linear-angular coupling motion calibration method. It includes constructing a non-contact inertial measurement unit linear-angular motion synchronous measurement system. Through a reference cubic prism, a three-dimensional laser vibrometer, a first dual-axis autocollimator, a second dual-axis autocollimator, and a data acquisition module, an attitude transformation matrix is ​​established from the cubic mirror coordinate system to the inertial measurement unit coordinate system. By synchronously triggering the inertial measurement unit, based on the outputs of a three-axis gyroscope and a three-axis accelerometer, the three-axis acceleration measured by the three-dimensional laser vibrometer in the inertial measurement unit coordinate system, and the three-axis angular velocity of the inertial measurement unit measured by the dual-axis autocollimator, the linear-angular coupling motion of the inertial measurement unit is calibrated. This invention avoids the influence of vibration on the accuracy of the measurement system and solves the problem of difficulty in dynamically tracking and monitoring the actual motion of the inertial measurement unit during vibration.

Asset trackers for detecting end of trip by asset trackers are described. End of trip can be detected using a global navigation satellite system (GNSS) module or an inertial measurement unit (IMU), such as a three-axis accelerometer. In some implementations, the asset tracker uses an IMU for end of trip detection. In other implementations, the asset tracker uses an IMU for shock detection while using a GNSS module for end of trip detection.

Integrated single-mass three-axis accelerometer (400; 500) comprising: a single-mass xy ​​acceleration detection section (410; 510); and four single-mass rocker-type z-axis acceleration detection sections (420a...420d) embedded in the single-mass xy ​​acceleration detection section (410; 510), wherein the xy acceleration detection section (410; 510) extends in an xy-plane formed by the x-direction and y-direction and is movable in the xy-plane, wherein the rocker-type z-axis acceleration detection sections (420a...420d; 520a...520d) are each configured to rotate in a z-direction into and out of the xy-plane, wherein the x-direction, the y-direction and the z-direction are each pairwise perpendicular to each other, wherein the accelerometer (400; 500) in the xy-plane has the shape of a square and is symmetrical with respect to both perpendicular bisectors of the square as well as both diagonals of the square, and wherein the rocker z-axis acceleration detection sections (420a...420d; 520a...520d) are each coupled to the xy acceleration detection section (410; 510) by a z-holding device (426; 526).

The utility model discloses a handheld shaver control device based on three axis accelerometer, including three axis accelerometer, main control unit, motor drive circuit, lithium battery management circuit and cutter head contact switch, the surface of three axis accelerometer is provided with interrupt signal line INT1, interrupt signal line INT2 and I2C interface, the utility model discloses a handheld shaver control device based on three axis accelerometer, realizes the function of lifting hand wake -up through the AOI1 interrupt of SC7A20E accelerometer, realizes the function of static rest hibernate through AOI2 interrupt, and utilizes Z -axis gravity component detection determination handheld state, adopts main control unit PY32F002 and coordinates accelerometer interrupt signal and cutter head contact switch, realizes double condition starting motor control, and innovatively proposes dynamic power consumption management strategy, closes accelerometer output under hibernate state, and the whole machine standby current falls to 200 below, solves the problem of traditional shaver false touch starting and standby power consumption high, and greatly prolongs battery endurance time.

The application belongs to the technical field of sleep detection, and specifically discloses a sleep detection method and system based on time sequence continuity optimization, which comprises the following steps: collecting original wristband accelerometer data through a three-axis accelerometer and performing pretreatment to obtain an input tensor; inputting the input tensor into a feature extraction module to extract local features and global features of the input tensor and obtain a high-level feature tensor; inputting the high-level feature tensor into a feature reconstruction module, adopting a linear interpolation reconstruction strategy, performing up-sampling and feature skip connection on the high-level feature tensor, and obtaining a final data tensor; performing secondary fine-tuning and time sequence smoothing correction on the data tensor output by the feature reconstruction module to form complete one-day per-minute sleep state prediction and corresponding confidence score output. According to the technical scheme, the multi-scale hollow convolution is used to improve the residual unit, and through a bidirectional time sequence information processing mechanism, the prediction result of the sleep event is more accurate.

The application discloses a kind of unmanned plane nest operation coverage capacity evaluation method and system, it is related to unmanned plane technical field, including: the three-axis acceleration of target nest base is collected;According to the dynamic slope sequence of target nest platform calculated according to three-axis acceleration, according to the candidate window set of target landing section generated according to dynamic slope sequence and preset safety threshold;Two narrow-band components of dynamic slope sequence are generated, the phase consistency determination of amplitude threshold and instantaneous change rate of narrow-band component is carried out, and phase encounter mark is obtained;According to dynamic slope sequence and phase encounter mark, generate violent jump instruction;Based on preset approach time and violent jump instruction, safety window determination is carried out to candidate window set, and the safety window of target nest platform is obtained.

The application discloses a navigation method based on combination of multiple accelerometers and GPS, which comprises the following steps: calculating the angular velocity of a carrier according to a measurement formula of a gyro-free inertial measurement system; calculating the attitude information, the speed information and the position information of the carrier by using the calculated angular velocity and the output value of a three-axis accelerometer at the center of the measurement system; obtaining the speed information and the position information of the carrier by using a GPS system; subtracting the obtained speed information and position information respectively to obtain the speed difference value and the position difference value, and inputting the speed difference value and the position difference value into a combined navigation filter; obtaining the error estimation value of the navigation parameters based on the speed difference value and the position difference value by the combined navigation filter; and correcting the navigation parameters of the carrier by using the error estimation value of the navigation parameters. The application reduces the dependence on high-precision gyroscopes by adopting multiple accelerometers to construct the gyro-free inertial measurement system, thereby reducing the hardware cost of the system; meanwhile, the overall precision and stability of the navigation system are improved by combining with the GPS system.

The present application relates to the technical field of wearable health monitoring, and discloses a motion state and fall identification system and method based on a wearable foot ring, wherein the identification method is applied to an electronic mobile terminal and specifically comprises the following steps: S11: integrating a three-axis accelerometer, a three-axis gyroscope, a barometric altimeter and a surface electromyography signal sensor in the wearable foot ring to synchronously collect lower limb motion data, and transmitting all data to the electronic mobile terminal in real time through a Bluetooth module, while storing original data in the foot ring locally through a ring buffer for a preset time for use in case of network interruption; S12: implementing three-level preprocessing on the original sensor data by the electronic mobile terminal, and first adopting a sliding window normalization technology to eliminate device wearing differences. The present application can synchronously collect kinematic and muscle activation state information by adopting the wearable foot ring in the ankle wearing position and integrating the multi-modal sensor and the surface electromyography signal sensor.

This invention relates to a wave time-domain feature extraction method based on a high-frequency nine-dimensional correlated motion model of a wave-measuring buoy, comprising the following steps: S1: acquiring raw observation data from a three-axis gyroscope and a three-axis accelerometer of a wave-measuring buoy; S2: defining a spatial reference coordinate system and establishing a nine-dimensional correlated motion model of the wave-measuring buoy based on the raw observation data; S3: correcting the error of the nine-dimensional correlated motion model using Kalman filtering technology; S4: defining a single wave based on the corrected nine-dimensional correlated motion model and calculating the wave height and wave period of the single wave; S5: obtaining the wave's horizontal maximum velocity vector based on the defined single wave and calculating the wave direction, wave speed, and wavelength of the single wave. This invention achieves accurate measurement of single-wave characteristics without water depth dependence.

This invention discloses a triaxial accelerometer based on a Lamb wave TPoS resonator, belonging to the field of microelectromechanical systems (MEMS) technology. It includes a cuboid-shaped mass block and four cantilever beam structures symmetrically arranged on the sides of the upper surface of the mass block. The mass block includes a substrate silicon layer and a first doped silicon layer. The cantilever beam structures adopt a TPoS structure, including a second doped silicon layer, a piezoelectric thin film, and interdigital transducers. The first ends of the cantilever beam structures are connected to corresponding edges on the upper surface of the mass block, and the second ends are fixed to an external support structure. The interdigital transducers are located at the ends of the cantilever beam structures. The interdigital transducers and the piezoelectric thin film below them together constitute a Lamb wave resonator. This invention utilizes four TPoS Lamb wave resonators to achieve motion acceleration detection in three directions. It is insensitive to the thickness of the cantilever beam structure, which helps improve sensitivity. The fabrication process is compatible with CMOS technology, facilitating miniaturization and integration.

This utility model discloses a gyroscope stabilization platform system for drilling, including an upper connector assembly, a lower connector assembly, a pressure-bearing shell, and a stabilization platform body. The pressure-bearing shell is disposed between the upper and lower connector assemblies, and the stabilization platform body is disposed inside the pressure-bearing shell. The stabilization platform body includes an inner shell with an upper end cover and a lower end cover at both ends. Inside, from top to bottom, are arranged a measurement and control component, a motor, an electric slip ring, and a drilling gyroscope. The stator of the electric slip ring is fixed to the inner shell with screws, and the rotor ends of the electric slip ring are connected to the output shaft of the motor and the drilling gyroscope via couplings. The measurement and control component includes an MCU control unit and a large-range MEMS gyroscope and a three-axis accelerometer electrically connected to it for acquiring the real-time rotational speed of the drill pipe. The MCU control unit is also electrically connected to the motor. By acquiring the real-time rotational speed of the drill pipe through the measurement and control component, the motor outputs a gyroscope with the opposite direction but the same rotational speed, causing the drilling gyroscope to reverse, thereby achieving relative stillness of the drilling gyroscope.