965results 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.

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.

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.

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 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 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.

The invention provides a triaxial accelerometer based on a four-degree-of-freedom weak coupling resonator, the triaxial accelerometer comprises an upper-layer structure and a lower-layer structure, the upper layer is a micromechanical sensitive element constructed by taking silicon as a material, the lower layer is a glass base processed by a silicon dioxide material, and the glass base is used for providing mechanical support and electrical isolation functions. Wherein the micromechanical sensitive element has a signal conversion function; and the lower-layer glass base is formed by wet etching and metal sputtering processes and is used for signal output. On the basis of collaborative design of the orthogonally distributed resonance unit array and the mechanical amplification mechanism, electrostatic driving and amplitude ratio detection are combined, synchronous and accurate sensing of acceleration of the Y axis, the X axis and the Z axis is achieved through a single sensitive element, the technical limitation of a traditional single-axis detection mode is broken through, the complexity of a rear-end signal processing circuit is reduced, and the detection precision is improved. The device space utilization rate is improved.

A fall protection compliance system includes a connection structure configured for interfacing an anchor structure and a connection sensor associated with the connection structure. The connection sensor includes an accelerometer or a pressure switch, where the connection sensor is configured to monitor continued connection of the connection structure to the anchor structure over a period of time and to output a signal indicating said continued connection.

Various implementations disclosed herein include devices, systems, and methods that localize a device based on detecting planes in depth data acquired by the device. For example, an example process may include detecting first plane data in first sensor data acquired by a sensor at a first viewpoint location in a physical environment, detecting second plane data in second sensor data acquired by the sensor at a second viewpoint location in the physical environment, determining that the first plane data and the second plane data correspond to a same plane based on comparing the first plane data with the second plane data, and determining a spatial transformation between the first viewpoint location and the second viewpoint location based on the first plane data and the second plane data.

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

The technology relates to measurement systems and methods for measure kinematic data of an athlete during athletic activities. In an example, the system includes a housing that includes an accelerometer and a gyroscope; at least one processor; and at least one memory. The system performs operations including generating kinematic data for the athlete during the athletic activity; detecting an occurrence of a feedback trigger condition; surfacing a feedback request for a natural language response from the athlete during the athletic activity; receiving a natural language response from the athlete during the athletic activity; generating an athlete-response prompt for a generative artificial intelligence (AI) model; providing the athlete-response prompt as input to the generative AI model; receiving, from the generative AI model in response to the athlete-response prompt, a standardized tag for the defined categories; and tagging the kinematic data with the standardized tag.

The invention relates to the field of sensor data processing, and discloses an MEMS drift correction method based on data dynamic sampling and multi-source fusion, and the method comprises the following steps: S1, collecting MEMS three-axis acceleration original data at a first sampling frequency, and synchronously collecting environment temperature, humidity and air pressure data at a second sampling frequency, the first sampling frequency is higher than the second sampling frequency, the basic drift correction model is established by using the low-frequency data to capture the macroscopic and slow-varying relationship between the environmental factors and the drift, then the residual refinement model is established for the high-frequency data, and the high-frequency residual is specially processed; high-frequency drift components related to the environmental change rate are captured, through the two-stage fusion strategy, the accuracy of the model in the macroscopic trend is guaranteed, high-frequency data are fully utilized to improve the instantaneous correction precision, information loss caused by simple downsampling in a traditional method is avoided, and false signals introduced by rough interpolation are also avoided.

An information processing apparatus 1 sequentially receives a plurality of input data between predetermined time TS and time TE, and uses model information to estimate predetermined estimated data at a time point of time T (TS<T<TE) based on the received input data, the model information having been trained by machine learning so as to estimate the estimated data at the time point of the time T on the basis of the received input data.

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

The invention discloses a configurable low-power-consumption six-axis inertial sensor sampling method suitable for livestock and poultry, and belongs to the technical field of animal behavior recognition and intelligent breeding. According to the method, by setting an intermittent sampling strategy and combining low-frequency period awakening and a short-time high-frequency data sampling window, behavior recognition data collection of the six-axis inertial sensor under the low-power-consumption condition is achieved. Meanwhile, a sampling template mechanism based on a behavior target is introduced, various sampling parameters can be configured according to the growth stage of the animal, the monitoring requirement and the variety difference, and multi-scene switching application such as oestrus recognition, parturient monitoring and night energy-saving guarding is supported. In addition, the system has an edge recognition capability, and can automatically trigger temporary recollection when detecting that the attitude angle is abnormal, so that the integrity of key behavior data is guaranteed. The method has the advantages of low power consumption, accurate recognition, flexible configuration, high adaptability and the like, and is widely applied to behavior monitoring scenes of bred animals such as dairy cows, pigs, sheep, chickens, ducks, geese and the like.

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.

The invention discloses a cable warning pile and method for monitoring the state of an intermediate joint of a directly-buried power cable, relates to the field of state monitoring of power equipment in power engineering, and aims to solve the problems of single-parameter acquisition, large interference influence, non-objective evaluation and non-visual early warning in the existing monitoring technology. The warning pile is vertically buried at the position 0.3-0.8 m above a connector, temperature, partial discharge, vibration and environment data are synchronously collected through multiple sensors such as an optical fiber temperature sensor and a high-frequency current transformer, after data alignment, abnormal value elimination, filtering and integral preprocessing, the real temperature of the connector is restored through an environment and vibration coupling correction model, and the real temperature of the connector is obtained. And extracting a partial discharge peak factor and an average discharge capacity core characteristic. An index weight is determined based on an entropy weight method to construct a health degree evaluation model, operation states are divided into normal, attention, early warning and fault classes, hierarchical visual warning is realized through a three-color indicating lamp group and a buzzer, and the model is dynamically updated in combination with maintenance data every three months.

In embodiments, an electronic device is provided. The electronic device may comprise: a barometric pressure sensor including a sensing element and a waterproof member for protecting the sensing element; an inertial sensor; a processor; and a memory for storing instructions. The instructions, when executed by the processor, may cause the electronic device to: determine direction information of the barometric pressure sensor from sensing data of the inertial sensor; determine a correction value based on the direction information of the barometric pressure sensor on the basis of pressure offset data for the sensing element in each of designated directions of the barometric pressure sensor; and provide pressure information using the pressure data of the barometric pressure sensor and the correction value.

A method is provided for method for estimating shape of an elongated member of an articulating flexible endoscope. The method comprising: receiving sensor data acquired by a series of sensor pairs located at multiple points along a length of the elongated member, where the series of sensor pairs are mounted to a structure movable relative to the elongated member; calculating orientations of the elongated member at the multiple points; and estimating a shape of the elongated member based at least in part on the orientations.

The invention relates to the technical field of dynamic force measurement, and particularly provides an inertia force compensation method and system for a dynamic force measurement platform, and the method comprises the steps: arranging a plurality of acceleration sensors on the measurement platform, so as to collect the acceleration information of the platform in the dynamic motion in real time; by combining the mass of the dynamic force measurement platform and the inertia moment data of the dynamic force measurement platform, the error of the platform caused by inertia is calculated and compensated, so that the precision of dynamic force measurement is improved. The method provided by the invention is particularly suitable for small-amplitude disturbance force and micro-vibration measurement scenes, and the interference of the inertia force of the platform on the measurement result can be remarkably reduced.

Proposed is a control method for a home appliance configured to detect a user's knock applied thereto that includes generating vibration detection signals corresponding to vibrations of three axial directions orthogonal to each other, and determining whether a vibration is generated by the user's knock by using a vibration detection signal of a first axial direction corresponding to a direction of the vibration generated by the user's knock.

The invention discloses a multi-sensor fusion road impact event detection method and system, and the method comprises the steps: dividing the whole detection process into four parts according to the change rule of geomagnetic data and acceleration data corresponding to a vehicle impact behavior, the method comprises the steps of data acquisition, data preprocessing, fluctuation data extraction and fluctuation data impact event judgment, and the change condition of geomagnetic data is added in acceleration fluctuation judgment, that is, if acceleration impact judgment and geomagnetic impact judgment both detect vehicle impact events, a vehicle impact result is output; according to the method, whether the vehicle collision is caused by the vehicle collision or not can be further judged, the misjudgment of the non-vehicle collision event is effectively solved, and the detection accuracy is improved.

The present disclosure provides a method, a system, and a medium for maintaining bridge structures susceptible to damage triggered by ship impact, and relates to the field of bridge health monitoring technology. If ship-bridge collision damage occurs, time-frequency coherence degradation factors at different positions of a time-series matrix, allows determination of an impact damage position and a damage degree based on a convex maximum point in the trajectory curve of the time-frequency coherence degradation factors. This method can effectively separate the influence of environmental factors and provide a fundamental methodological basis for establishing ship-bridge collision damage assessment technology.