1809results about "Acceleration measurement in multiple dimensions" patented technology

Various automated techniques are disclosed herein for monitoring and assessing real-time and future operational and health statuses of real-world assets (e.g., physical devices, components, equipment, structures, buildings, machines, infrastructure, piping systems, etc.). A monitoring system incorporates the use of intelligent Monitoring Devices for monitoring pipe systems and / or other infrastructure for leaks / issues using IoT devices and machine learning. One or more Monitoring Device(s) are attached to specific physical equipment / structure(s) to be monitored. A Monitoring Device performs comprehensive field data gathering. The collected field data is used to train a customized ML model, which is stored locally in that Monitoring Device. The Monitoring Device monitors current conditions of the pipe using various sensors, and uses its locally stored customized, trained model to perform real-time, edge-based analysis of the monitored data to identify possible issues in real-time and / or to predict future maintenance / service needs without relying on continuous cloud connectivity.

Described herein are systems and methods for monitoring plant health by communicating with plant-associated persona(s) via artificial intelligence. These systems and methods can communicate information about the health of plants in a natural-language format through the use of plant-based sensors for collecting data on plant health, analytical models and processors for processing the data on plant health, large language models for converting the data on plant health into a persona-guided, natural-language format, and user devices for receiving the data on plant health in the natural-language format.

The invention relates to a wide-temperature high-precision optical acceleration sensitive chip and sensor based on a microcavity interferometer principle and a manufacturing method thereof, the wide-temperature high-precision optical acceleration sensitive chip comprises a first substrate, a second substrate and a third substrate, an optical fiber mounting seat and a light through hole are formed on the first substrate, a beam structure and an inertial mass block are processed on the second substrate, and the beam structure is arranged on the third substrate. The first substrate, the second substrate and the third substrate are all made of double-polished super-flat silicon wafers, a single-mode optical fiber assembly is fixed to the optical fiber installation base, the end face of the single-mode optical fiber assembly is subjected to precise grinding and is perpendicular to the axial direction of an optical fiber core, and a first cavity mirror is formed by means of the end face of the side, facing the light through hole, of the inertial mass block. A second cavity mirror is formed on the end face of the single-mode optical fiber assembly, the first cavity mirror and the second cavity mirror form an F-P interference cavity, and the first substrate, the second substrate and the third substrate are connected through the silicon-silicon bonding technology.

The invention discloses a vehicle falling detection method and device, the method is applied to a vehicle-mounted device, and the method comprises the steps that first information is obtained, the first information comprises accelerated speeds of a vehicle in a first direction, a second direction and a third direction, and / or angular speeds of the vehicle in the first direction, the second direction and the third direction, the first direction, the second direction and the third direction are three coordinate axis directions of a three-dimensional coordinate system respectively; and then, according to the first information, determining whether the vehicle falls off or not. According to the method, in consideration of possible vehicle direction change, rolling and other situations when a vehicle falls off, falling detection is carried out on the vehicle according to acceleration of the vehicle in a first direction, a second direction and a third direction and / or angular velocity of the vehicle in the first direction, the second direction and the third direction, and the vehicle falling detection accuracy is improved. Therefore, whether the vehicle falls off or not can be determined, and the accuracy of vehicle falling detection can be ensured.

The present disclosure relates to a MEMS inertial sensor device in a semiconductor chip package that includes an integrated circuit configured to process inertial sensor data. Preferred implementations utilize inertial sensors having different sensitivity ranges to adjust operation of dynamic system control such as motion and or attitude control of autonomous vehicles.

The invention discloses a method for predicting the damage of a prestressed concrete cylinder pipe in a complex environment, and relates to the technical field of pipeline structure health monitoring, and the method comprises the steps: collecting multi-physical field data through deploying multiple types of sensors, transmitting the data to a central monitoring system in a wireless manner, carrying out the standardized preprocessing, and obtaining a multi-source fusion data set; a salt migration driving index dsa, a stress disturbance induction index yry and an electrochemical activity potential index che are constructed, a comprehensive corrosion risk index SCR is obtained, and corrosion behavior evaluation is carried out. And when the corrosion behavior is evaluated as a disturbance sign, a corrosion change prediction index CAR is further calculated according to time sequence evolution forming a corrosion risk index SCR, grading evaluation and transition identification of the corrosion state are realized, an evaluation result is stored in a database, and a corrosion risk evolution trend is presented through a visual chart. The method supports early warning and emergency response decision making, and has high adaptability and engineering practicability without adding hardware.

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.

The invention relates to a system and method for detection on a stationary surface. A method includes generating, by a first motion sensor of an electronic device, first sensor data over an acquisition time window, and determining whether the electronic device is located on a stationary surface, a semi-stationary surface, or in motion by processing the first sensor data to generate first process data. The method further includes determining whether the electronic device is in a steady state based on the first process data, the steady state indicating whether the electronic device is held on the stationary surface for a first predefined time. And, the method further includes stopping processing the first sensor data in response to determining that the electronic device has been in the steady state for a second predefined time.

The invention provides a watch wearing tightness detection method and device, and relates to the field of sports health monitoring. The method comprises the following steps: collecting current motion data of a target watch worn by a user in real time through a six-axis acceleration gyroscope sensor, wherein the current motion data comprises acceleration data and angular velocity data; acquiring motion features corresponding to the current motion data, wherein the motion features are time sequence features corresponding to the acceleration data and the angular velocity data respectively; judging the wearing state of the target watch according to the time sequence characteristics through a motion data dynamic analysis model; if it is confirmed that the wearing state is the loose wearing state, preset prompt information is sent to the user, and the preset prompt information is used for prompting the user to adjust the wearing state from the loose wearing state to the tight wearing state. According to the method and the device, the problem that the heart rate measurement precision is affected due to the fact that an existing watch wearing tightness detection mode often lacks real-time detection capability and cannot feed back the wearing tightness change in time is solved.

The invention discloses a well drilling vibration measurement and real-time calibration system based on a vibration sensor, and relates to the technical field of data processing. The system comprises a signal measurement part, a signal correction compensation part, a signal analysis part and a signal calibration part, the signal measuring part is used for installing a vibration sensor and an accelerometer near a drill bit or a drill column and generating a fundamental frequency vibration signal; the signal correction compensation part is used for performing stick-slip effect compensation on the fundamental frequency vibration signal to obtain a first compensation signal; calculating the resonant frequency of the drilling system; calculating the bending stress of the drill string; calculating well track deviation; the signal analysis part is used for calculating the dynamic load of the drilling system to obtain the vibration energy dissipation of the drilling system; calculating the system response of the drilling system; and the signal calibration part is used for calculating a calibration coefficient. According to the invention, the precision and calibration capability of vibration signal measurement are significantly improved.

Certain embodiments provide an auxiliary wireless device for a power tool that includes a body, a wireless communication unit (WCU), an inertial measurement unit (IMU), and a controller. The body is removably attachable to a housing of a power tool. The WCU includes a wireless transceiver. The IMU is configured to output IMU sensor data including at least one of 3-axis acceleration data and 3-axis angular rate data. The controller is configured to determine a loaded operational time of the power tool over a time period based on the IMU sensor data, determine a cumulative loaded operational time of the power tool over a cumulative time period based on loaded operational times for a number of time periods, and send the cumulative loaded operational time to the WCU for transmission to a remote device. The power tool is activated in a loaded condition during the loaded operational time.

A system (1) for efficiently determining a driving behaviour of a driver driving a vehicle. The system includes a 3-axis accelerometer (2) generating accelerometer data (3), a direction sensor (4) generating direction data (5) and orientation sensor (6) generating orientation and angular velocity data (7), all placed inside the vehicle. The system (1) also includes a processing unit (8) which processes the accelerometer data (3), the direction data (5) and the orientation data (7), and calibrates the accelerometer data (3) to generate a calibrated accelerometer data (9). The calibrated accelerometer data (9) is used in determining the driving behaviour of the driver of the vehicle and generate Driving Deficiency Alerts, including but not limited to Over-speeding. Hard acceleration. Sudden Braking, Fast Cornering, Quick Lane Changing, Distracted Driving, Dangerous Driving over bumps and Crash Detection.

Proposed is a home appliance that includes a cabinet defining an exterior of the home appliance, a reception space defined inside the cabinet and configured to receive objects in the reception space, a door configured to open and close an open surface of the reception space, the door having a viewing window provided at the door, a sensor assembly configured to detect each of a plurality of vibrations transmitted in three axial directions orthogonal to each other and to determine whether one or more of the plurality of vibrations is generated by a user's knock, a lamp configured to illuminate an inside of the reception space, and a controller configured to turn on / off the lamp based on a knock-on signal output by the sensor assembly.

The invention discloses a decoupling vibration isolation composite beam frame structure shaped like a Chinese character'tian 'and a high-precision four-mass double-shaft micro-accelerometer thereof. The structure comprises at least four outer ring straight beam mechanisms and at least four decoupling vibration isolation rings. The accelerometer comprises a substrate layer and a device layer, and the device layer comprises the decoupling vibration isolation composite beam frame structure shaped like the Chinese character'tian ', an X-axis dual-mass sensing unit and a Y-axis dual-mass sensing unit. The problem of inter-axis cross coupling of double-axis acceleration detection is solved, isolation and vibration reduction of the MEMS accelerometer to the surrounding environment are achieved, and the influence of temperature and environment vibration on the measurement precision of a device is effectively restrained; by adopting a mode of crosswise arranging the electrode positions, the output error of the MEMS microstructure caused by process mismatch can be effectively inhibited, so that the output precision of the device is improved; each axial direction is designed in a combination mode that double mass sensing unit modules are connected in parallel, so that the detection sensitivity of the device is improved exponentially.

Various optical systems for use in a light pulse atomic interferometer (LPAI)-based one-, two-, or three-axis accelerometer or gyroscope are disclosed. As an LPAI accelerometer or gyroscope may employ many different laser beams to implement the LPAI functionality, ways of combining these different laser beams to thereby simplify the optical systems are desired. The cooling laser beam portion of the optical system may be simplified using one or more reflective grating chips. The Raman laser beam optics may be simplified using combiners and separators. For LPAI systems sensing along three axes, various optical switching schemes may be employed, including ones that generate variable data-rates with a primary sensing axis having a higher data-rate than the secondary sensing axes. Further, by combining various laser beams in a time-multiplexed manner, the number of optical fiber tethers to a sensor head may be reduced.

An agricultural trench depth sensing system having a trench implement adapted to be disposed in a soil trench opened in a soil surface. In one embodiment an ultrasonic sensor detects a distance to an upper surface of said trench implement or a target disposed thereon. In another embodiment, said trench implement includes one or more fingers which rotate with respect to said trench implement to detect the soil surface relative to said trench implement. In another embodiment, said trench implement includes side sensors for detecting the sidewall of the soil trench.

The MEMS triaxial accelerometer with the self-checking function comprises a cap layer, a structural layer and a substrate layer, the structural layer is clamped and packaged between the cap layer and the substrate layer, the structural layer comprises an X-axis acceleration detection array, a Z-axis acceleration detection array and a Y-axis acceleration detection array which have the self-checking function, and the X-axis acceleration detection array, the Z-axis acceleration detection array and the Y-axis acceleration detection array have the self-checking function. A Z-axis sensitive structure release groove is formed in the middle of the structural layer, the Z-axis acceleration detection array can move in the Z-axis direction along the Z-axis sensitive structure release groove, an X-axis sensitive structure release groove is formed in one side of the Z-axis acceleration detection array, and the X-axis acceleration detection array can move in the X-axis direction along the X-axis sensitive structure release groove. A Y-axis sensitive structure release groove is formed in the other side of the Z-axis acceleration detection array, and the Y-axis acceleration detection array can move in the Y-axis direction along the Y-axis sensitive structure release groove. The accelerometer provided by the invention has a self-checking function, can apply known signals, and is used for detecting the response of the sensor under different working conditions.

The invention discloses a gate fault detection method and system, and relates to the technical field of fault diagnosis and health monitoring, and the method comprises the steps: collecting a gate vibration signal, extracting a main modal frequency, setting a sampling frequency and a passband range, designing a finite impulse response filter for filtering, and carrying out the optimization through a particle swarm algorithm, thereby obtaining an enhanced signal; extracting features in the enhanced signal for integration to obtain a feature vector, mapping the feature vector to a discrete state set by using a rule threshold matching method, and obtaining a gate state; the method comprises the following steps: acquiring historical data for sampling, constructing a state transition probability matrix, calculating a steady-state probability vector according to the state transition probability matrix, combining a gate state, generating a state sequence track, setting an influence factor and a weight by using an empirical rule, and calculating a fault occurrence probability for risk detection; according to the method, the gate fault detection precision, efficiency and reliability are remarkably improved.

A sensor assembly for a conveyor belt includes a load cell attachable to a link of a modular conveyor belt and configured to measure tension in the belt and a housing. The housing may include a first cavity configured to receive at least a portion of the load cell, and a second cavity configured to receive one or more electronic components.

An inertial measurement device includes: an inertial sensor; a first signal processing circuit; a second signal processing circuit; a first communication unit and a second communication unit configured to communicate with an external device; and a mode selection unit configured to select a processing mode from a plurality of modes including a first processing mode and a second processing mode. The first processing mode is a mode in which the inertial measurement device is used alone and outputs a signal processed by the first signal processing circuit from the first communication unit, and the second processing mode is a mode in which the inertial measurement device is used in a state of being coupled to another inertial measurement device, a first signal processed by the first signal processing circuit and a second signal from another inertial measurement device received from the second communication unit are subjected to a calculation process by the second signal processing circuit, and a signal subjected to the calculation process is output from the first communication unit.

The invention provides a spherical complex vibration type vector hydrophone based on an MEMS accelerometer, and relates to the technical field of underwater acoustic signal detection, and the spherical complex vibration type vector hydrophone comprises an MEMS accelerometer, a built-in core, a piezoelectric ceramic spherical shell, a sound transmission sealing shell, and a suspension ring. The MEMS accelerometer is orthogonally arranged in the built-in core; the built-in core is nested in the lower half ball of the piezoelectric ceramic spherical shell; the upper hemisphere of the perforated piezoelectric ceramic spherical shell is adhered to the upper edge of the built-in core; the sound transmission sealing shell coats the piezoelectric ceramic spherical shell through an encapsulation process; the suspension ring is bonded with the sound transmission sealing shell, and the hydrophone is suspended on the fixing support for use. The composite hydrophone can detect sound pressure signals and vibration velocity signals at the same position underwater, solves the problem of omnidirectional detection of the composite hydrophone on the sound pressure signals, and has the advantages of small size, simple structure, high reliability, wide application range and the like.

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 discloses a wear state and precision degradation prediction method for a ball screw drive system, and the method comprises the steps: employing a dual-label obtaining strategy, and constructing a'strong label + weak label 'mixed label sequence covering a whole life cycle; mapping a macroscopic working condition into a contact interface micromechanical state quantity, and converting a time domain signal into a travel domain / space domain stable sequence by adopting equal travel synchronous resampling, so as to weaken the influence of speed fluctuation on feature extraction; a double-flow physical guidance neural network is further constructed, and a physical attention mechanism is introduced to realize data feature and physical prior fusion; training is completed based on supervision loss and physical consistency constraint, and online recursive correction is carried out by using sparse laser interferometer calibration data. By adopting the method, the prediction deviation caused by equipment aging and working condition change can be reduced, and stable prediction of the wear state and the repeated positioning error degradation trend is realized.

An adjuster performs simultaneous irradiation of M laser beams to an atomic beam, where M is a predetermined integer satisfying 3≤M. The course of each of the M laser beams intersects with the course of the atomic beam. A component, in a direction perpendicular to the course of the atomic beam, of the sum of radiation pressure vectors that the M laser beams respectively have is zero. A component, in a direction of the course of the atomic beam, of the sum of the radiation pressure vectors that the M laser beams respectively have is negative for atoms having speeds greater than a predetermined speed, and positive for atoms having speeds smaller than the predetermined speed.

The invention discloses a laser speckle testing device based on hyperspectral imaging, which realizes high-precision measurement of laser spots and speckle signals under the condition of not depending on an expensive refrigerating system by optimizing an optical structure and a control strategy. The device comprises an imaging lens, a lens electric control module, a liquid crystal tunable optical filter module, an ND filter wheel, a driving mechanism of the ND filter wheel, a two-dimensional image sensor, a main control unit, a three-axis acceleration sensor, a PC host and a tested screen. A noise calibration piece preset in an ND filter wheel is used for collecting noise data in real time before each time of measurement, and noise deduction is carried out before the filter is switched, so that the timeliness and accuracy of data correction are improved; meanwhile, the integrated three-axis acceleration sensor is used for monitoring vibration, and when vibration exceeding a preset threshold value is detected, it can be judged that currently collected data is invalid, and re-collection is automatically triggered. The device is compact in structure, low in cost and suitable for the fields of laser display, projection calibration, high-brightness light source detection and the like.

The motion data monitoring method includes: collecting, by an electronic device, an angular velocity signal and an acceleration signal of a user; obtaining, by the electronic device, a waveform feature of the angular velocity signal based on the angular velocity signal, and obtaining a waveform feature of the acceleration signal based on the acceleration signal; determining, by the electronic device, a gait feature of the user according to the waveform feature of the angular velocity signal and the waveform feature of the acceleration signal, where the gait feature includes a duration of flight from off-ground of a foot of the user to touching of the ground; and determining, by the electronic device, motion data according to the gait feature, where the motion data includes a jump height.

The present disclosure is directed to accelerometer measurement compensation for a device with first and second accelerometers. The first and second accelerometers are included in first and second components, respectively, of the device that are configured to rotate with respect to a hinge. The device detects a stuck condition of the first accelerometer, and compensates acceleration measurements of the first accelerometer by exploiting redundant information from the second accelerometer and applying a runtime calibration of undesired offsets.

The invention discloses a vehicle collision detection method based on a multi-modal fusion visual terminal, and the method comprises the steps: S1, analyzing a track data packet uploaded by a device end in real time, and obtaining vehicle motion parameters of a predetermined time length and a predetermined dimension; s2, collecting audio and video data of a preset time window of the trigger track data packet, and decoding audio and video information of a set time length; s3, performing data preprocessing on each analyzed modal parameter, constructing a feature set of a single-modal collision detection dimension, and performing feature screening; s4, fusing the sensor gyroscope and the audio and video multi-modal features; and S5, constructing a multi-modal subdivision scene based on the multi-modal features, and constructing a push rule of vehicle collision detection by adopting a decision tree algorithm. According to the invention, modeling is carried out by fusing the three-axis acceleration and audio and video data acquired by the sensor, so that the collaborative and complementary detection of vehicle collision based on multi-modal data is realized.

The invention discloses a biaxial silicon micro-accelerometer based on a three-degree-of-freedom weak coupling resonator, and belongs to the technical field of micro-electro-mechanical systems and microfluid measurement. Comprising a glass base and a silicon micromechanical sensor, the center of the glass base is provided with a protruding common anchor point, the silicon micromechanical sensor is connected to the glass base through the common anchor point, and signal electrodes for transmitting signals are distributed on the glass base; the silicon micromechanical sensor comprises a stress base and resonance modules; the stress base is mounted on the glass base, and the resonance modules arranged in a Y shape are arranged on the stress base; the Y-shaped head of the resonance module is provided with a pair of resonators which are perpendicular to each other and are used for detecting acceleration in the horizontal direction and acceleration in the vertical direction respectively. The stability and the measurement accuracy of the biaxial accelerometer are further improved by arranging a resonator arrangement mode of a stable structure and cooperating with the mechanical stable design of the amplification unit and the safety structure.