77results about "Acceleration measurement in multiple dimensions" patented technology

A system 20 for monitoring a tubular structure 22 having a length, comprising: a sensor module array 32 having a plurality of sensor modules 34 configured to sense one or more parameters relating to 2

This disclosure relates to an inertial sensor for measuring an inertial quantity along a sensing axis. The sensor comprises an atom interferometer comprising a pulse generator to generate one or more pulsed light beams, defined by a respective pulse duration to place atoms into a superposition, and re-combine the atoms to measure an interference of the atoms and calculate the inertial quantity based on the measured interference. The sensor further comprises an auxiliary acceleration sensor configured to measure acceleration transverse to one or more of the pulsed light beams; and a control system configured to calculate a transversal offset of the atoms relative to the pulsed light beams caused by the measured acceleration transverse to the one or more of the light beams, increase the pulse durations, and adjust the pulse timings to compensate for a reduced beam intensity applied to the atoms as a result of the transversal offset.

This invention discloses a fuel tank anti-theft detection method and system based on differential and multi-feature fusion recognition. The method includes: executing a fuel tank anti-theft detection algorithm within a time recognition window to determine abnormal fuel tank opening behavior; if multiple consecutive time recognition windows determine abnormal fuel tank opening, an alarm message is generated and sent out. The advantages of this invention are as follows: 1. The dual-sensor differential structure can distinguish between overall vibration and local structural displacement; 2. Data collected by dual sensors can effectively distinguish between overall vehicle vibration and local abnormal fuel tank cap opening behavior; wherein, direction-sensitive differential can enhance the recognition ability of the opening direction movement, and multi-feature fusion recognition can significantly reduce the false alarm rate and improve recognition accuracy; 3. It provides self-learning suppression alarm, which can improve environmental adaptability; 4. It achieves long-term low-power operation through hierarchical power consumption management, suitable for scenarios without external power supply.

An accelerometer includes first to fourth measuring units. Each of the first to fourth measuring units includes a mass element moving in a y direction and first and second fixed structures. The mass element forms a differential capacitor with the first and second fixed structures. Each of the first to fourth measuring units includes a center line, and in each of the first to fourth measuring units, the first and second fixed structures are on opposite sides of the center line. The first and second capacitors are identically laid out with respect to the center line in the first and third measuring units. The first and second capacitors are identically laid out with respect to the center line in the second and fourth measuring units. The first and second capacitors are oppositely laid out with respect to the center line in the first measuring unit and in the second measuring unit.

A capacitive dual-axis accelerometer having z-axis includes a CMOS wafer, a microelectromechanical system (MEMS) wafer, and a cap wafer, all of which are disposed in parallel and bonded with each another. The MEMS wafer includes an X-axis (or Y-axis) sensing structure, a Z-axis sensing structure, four MEMS fixing anchors, and at least one stopper anchor. The X-axis (or Y-axis) sensing structure, one of which is applied depending on package orientation, shares the four MEMS fixing anchors with the Z-axis sensing structure. The at least one stopper anchor is disposed between the X-axis (or Y-axis) sensing structure and the Z-axis sensing structure, and is capable of implementing a two-stage stopper via its bump on spring and hard stopper on anchor.

A method of activating an asset tracker from an ultra-low power transport mode to a motion detection mode. The method includes detecting an activation trigger activity, the activation trigger activity including a double tap of a housing of the asset tracker, touch sensing, optical sensing, and loss of proximity to a proximate object in a packaging of an asset container.

Apparatuses and methods for predicting a crash using estimated vehicle speed. A set of sensor measurements are received from a mobile device disposed within a vehicle. A set of contiguous windows based on the sensor measurements may be defined. Each contiguous window represents a contiguous portion of the sensor measurements. A set of sensor measurements may be defined for each contiguous window. A trained neural network may execute, using the set of features, to generate one or more speed predictions. A vehicle crash prediction may be generated using the speed prediction. The vehicle crash prediction may then be transmitted to a remote device.

The device comprises at least one accelerometer, and a controller receiving input signals from the at least one accelerometer. The controller configured to filter stroke characteristics from the input signal using a filter module. The controller then applies a first statistical module on the filtered signal and obtains a first output signal. Due to the first statistical module, the first output signal is obtained, which is agnostic to type of swim stroke employed by the swimmer. The controller then determines the swim metric based on the first output signal and an adaptive threshold value. The swim metric is lap completion or lap count or turn event, during swimming by a swimmer. The device consumes less power and also agnostic to swim styles and turn styles employed by swimmers.

The application discloses a fluid type acceleration sensor, a preparation mold and a preparation method. The fluid type angular acceleration sensor comprises a shell, three semi-canal and a container connecting the semi-canal, a channel for liquid circulation is arranged in the semi-canal, the container has a cavity, the cavity is communicated with the channel of each semi-canal to jointly form a closed fluid cavity, wherein the central axis of the three semi-canal respectively bends and extends in three planes, the three planes pass through an original point and are perpendicular to each other, three ampulla caps are correspondingly arranged in the semi-canal, the edge of the ampulla cap is connected with the semi-canal to close the channel, the ampulla cap can be deformed by being pushed by the liquid in the channel, and three strain gauges are correspondingly arranged in the ampulla cap and are configured to follow the deformation of the ampulla cap and convert the deformation into an electric signal output. The fluid type acceleration sensor, the preparation mold and the preparation method can provide more accurate and reliable angular acceleration signals.

The invention relates to a physical quantity sensor element and a physical quantity sensor apparatus. The physical quantity sensor element includes a beam fixing portion, a first electrode fixing portion, and a second electrode fixing portion. A support beam having one end connected to the beam fixing portion and extending in a direction parallel to the support substrate; a movable body connected to the other end of the support beam and disposed on both sides of the support beam with the support beam sandwiched therebetween in plan view; a first movable comb electrode connected to the movable body and disposed on one side with the support beam sandwiched therebetween in plan view; a first fixed comb electrode connected to the first electrode fixing part and facing the first movable comb electrode; a second movable comb electrode connected to the movable body and disposed on the other side with the support beam interposed therebetween in plan view; a second fixed comb electrode connected to the second electrode fixing part and facing the second movable comb electrode; and a self-diagnosis electrode that sandwiches the first movable comb electrode, the first fixed comb electrode, the second movable comb electrode, and the second fixed comb electrode.

A virtual object display device comprises a display and a display control device configured to perform display control of the display. The display control device includes: a coordinate system calculation unit configured to detect movement and rotation of the virtual object display device in a real world, and use an inertial coordinate system in which a coordinate origin thereof follows the movement of the virtual object display device and an effective field of view of the display is rotated therein in accordance with the rotation of the virtual object display device so as to define an arrangement position of an inertial coordinate system virtual object; and a display control unit configured to, when the inertial coordinate system virtual object is included in the effective field of view of the display, display the inertial coordinate system virtual object within the effective field of view.

A device including a visual or audible signaling means and a motion sensor, and logic for activating or controlling the signaling means in response to a sensed motion according to an embedded logic is disclosed. The device may be used as a toy for amusement, and may be shaped like a play ball or as a handheld unit. The device may be powered from a battery, which may be charged from an AC power directly or contactless by using induction or by converting electrical energy from harvested kinetic energy. The embedded logic may activate or control the signaling means, predictably or randomly, in response to the sensed acceleration magnitude or direction, such as sensing the crossing a preset threshold or sensing the peak value. The visual means may be a numeric display for displaying a value associated with the count of the number of times the threshold has been exceeded or the peak magnitude of the acceleration sensed.

This invention relates to the field of control system technology, specifically to a dynamic stabilization drive control method and apparatus for a gyroscope. The method includes: acquiring the drive state signal and operating temperature signal of the gyroscope; determining the dominant interference axis and the main interference reference signal of a triaxial accelerometer; performing power spectrum analysis on the drive state signal to obtain the real-time resonant frequency; determining the degree of temperature drift based on the operating temperature signal; determining the instantaneous frequency of the main interference reference signal; determining the distance difference between the real-time resonant frequency and the instantaneous frequency of the main interference; combining the distance difference, the degree of temperature drift, and the instantaneous frequency of the main interference to determine the target notch parameters and target filter of the filter; converting the drive state signal into a purified drive signal through the target filter; and controlling the gyroscope drive based on the purified drive signal. The technical solution of this invention improves the stability and rapid adjustment capability of the gyroscope drive mode, as well as the corresponding measurement accuracy.

Embodiments of this disclosure relate to a Z-axis resonant accelerometer with an improved detection structure. The detection structure includes an inertial mass suspended above a substrate and having a window provided across the entire thickness of the inertial mass. The inertial mass is coupled to a main anchor via a torsion-type first and second anchoring elastic element, the main anchor being disposed within the window and integral with the substrate. The detection structure also includes at least a first resonant element having a longitudinal extension, coupled between the first elastic element and a first constraint element disposed within the window. The first constraint element is suspended above the substrate and fixedly coupled to the substrate via a first auxiliary anchor element extending below the longitudinally extending first resonant element and integrally coupled between the first constraint element and the main anchor.

Wearable device, system, and method for controlling wearable device are disclosed. The wearable device includes a processor and an inertial sensor. The processor is connected to the inertial sensor and is configured to acquire dynamic data of a user's action through the inertial sensor (12), classify the user's action according to the dynamic data, determine a specified action corresponding to the user's action by comparing the dynamic data with a preset specified action template based on an action type, and control the wearable device to execute a corresponding functional operation according to the specified action and the working state of the wearable device. The wearable device, system, and method for controlling wearable device can improve the diversity and intelligence of the automatic control of the wearable device.

A sensor for detecting a position of a mechanical component within a polar spherical coordinate reference system, comprising, accommodated inside a sensor body of the sensor: a linear position sensor configured to detect a first linear coordinate of a position of a free end of a slider in the polar spherical coordinate reference system; an acceleration sensor; an angular speed sensor; a data processing unit configured to: determine a second colatitude coordinate and a third longitude coordinate of said position based on acceleration values and angular speed values detectable by said sensors; store in a memory unit a plurality of sets of three detected polar spherical coordinates representative of a path travelled by the free end of the slider in said reference system.

In accordance with various embodiments of the present disclosure, a method for outputting data from an inertial measurement unit having a first accelerometer having a first operating range and a second accelerometer having a second operating range comprises comparing an absolute value of data from the first accelerometer and / or from the second accelerometer for each of three axes to a first threshold and a second threshold; if the absolute value of the data from the first accelerometer and / or from the second accelerometer is less than the first threshold for all of the three axes, writing the data from the first accelerometer to a data buffer; and if the absolute value of the data from the first accelerometer and / or from the second accelerometer is greater than the second threshold for any of the three axes, writing the data from the second accelerometer to the data buffer.

Aircraft high-load landing event detection, classification and maintenance guidance methods relate to the technical field of aircraft high-load landing event detection. The aircraft high-load landing event detection method collects complete and accurate landing data online during an aircraft landing process and performs an analysis and calculation to determine whether a high-load landing event occurred and determines the type of the high-load landing event. The aircraft high-load landing event detection method removes the high-load landing event determination from the pilot's subjective perception and does not need to wait for decoding of quick access recorder (QAR) data, greatly improving the accuracy and timeliness of high-load landing event detection. In addition, by analyzing and estimating structural loads of the aircraft, the aircraft high-load landing event detection method provides targeted maintenance recommendations for possible aircraft structural damage caused by the high-load landing event, and forms a corresponding report.

A maintenance monitoring and recommendation infrastructure can include a plurality of monitors, which can be attached to various industrial equipment. The monitors can include a plurality of sensors and wireless communication circuitry to transmit the sensor data to a receiver. The receiver can be connected to the maintenance monitoring infrastructure, where the sensor data can be used to perform maintenance data analysis and provide artificial-intelligence-based maintenance recommendations. The monitors can compress sensor data to improve the efficiency of transport, while maintaining improved battery life. The compression can be based on a feedback from the machine learning algorithms to determine frequencies of the regions of interest (ROIs) in the sensor data, which are more relevant to failure analysis. The more relevant ROIs are compressed less aggressively, while other regions are compressed more aggressively.

This invention relates to the field of accelerometer chip technology, and discloses a sandwich-type triaxial accelerometer chip and its fabrication method. The fabrication method includes: forming a top electrode plate on a top glass substrate; fixing the top electrode plate to a first SOI substrate; thinning a first bottom silicon layer; forming a first accelerometer sub-assembly and a first Z-axis capacitor; forming a bottom electrode plate on a bottom glass substrate; fixing a second SOI substrate to the bottom electrode plate; thinning a second bottom silicon layer; forming a second accelerometer sub-assembly and a second Z-axis capacitor, which together with the first Z-axis capacitor forms a third differential capacitor; the movable mass blocks of the two accelerometer components along a first direction and the intermediate electrode block form the first differential capacitor; and the movable mass blocks of the two accelerometer components along a second direction and the intermediate electrode block form the second differential capacitor. The chip fabricated by the method disclosed in this invention has good integration, large capacitance, high sensitivity, and good linearity.

To achieve linearity characteristic with little characteristic error up to a high temperature region while reducing electrostatic fracture risk in assembling an acceleration sensor.SOLUTION: An acceleration sensor 1 includes, for example, a sensor device 10 configured to generate an acceleration signal S10 and a signal processor 20 configured to process the acceleration signal S10. The sensor device and the signal processor are sealed in a single package. The signal processor 20 includes: a signal input terminal P2 configured to receive an external input of the acceleration signal S10; a first electrostatic protection element D1 configured to be connected between the signal input terminal P2 and a first node to which a first voltage VDD is applied; and a second electrostatic protection element D2 configured to be connected between the signal input terminal P2 and a second node to which a second voltage GND is applied. The first electrostatic protection element D1 and the second electrostatic protection element D2 have the same structure and have the same leakage current characteristics.SELECTED DRAWING: Figure 9

A physical quantity sensor element includes a first fixed inter digital transducer coupled to a first electrode fixing portion and including a main body extending in a first direction parallel to a support substrate, and comb teeth extending in a second direction parallel to the support substrate and orthogonal to the first direction, a second fixed inter digital transducer coupled to a second electrode fixing portion and including a main body extending in the second direction, and comb teeth extending in the first direction, a first movable inter digital transducer coupled to a movable electrode fixing portion and arranged opposite to the first fixed inter digital transducer, and a second movable inter digital transducer arranged opposite to the second fixed inter digital transducer. At time of self-diagnosis, a signal having a frequency equal to a resonance frequency of the first movable inter digital transducer and the second movable inter digital transducer is applied between the first movable inter digital transducer and the first fixed inter digital transducer and between the second movable inter digital transducer and the second fixed inter digital transducer.

Methods and systems for detecting vehicle crash events using real-time sensor data are disclosed. In some embodiments, an application executing on a computing device disposed in a vehicle receives a stream of time-series data from one or more motion sensors during a drive. For each contiguous interval of a first predefined length, the application generates a crash prediction indicative of whether a crash occurred during that interval. Generating the crash prediction includes executing a crash detection neural network on sensor data collected over a time period that comprises the interval and has a second, greater predefined length. For each crash prediction, the application determines whether the prediction meets one or more predefined threshold criteria. In response to meeting the criteria, the application generates a crash analysis using the corresponding sensor data.