913results about "Acceleration measurement using interia forces" patented 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 invention discloses a single-axis mechanical accelerometer and a measuring method, and relates to the technical field of accelerometer measuring equipment.The single-axis mechanical accelerometer comprises a base and a dome shell installed on the base, a first cavity is formed in the base, and an I-shaped balancing weight capable of axially sliding is installed in the first cavity; a first spring is mounted between the I-shaped balancing weight and the cavity bottom of the first cavity; a conical sleeve capable of sliding in the radial direction is installed in the dome shell, a transverse shaft is inserted into the conical sleeve in a penetrating mode, the two ends of the transverse shaft are fixedly connected to the inner wall of the dome shell, the transverse shaft is sleeved with a second spring, one end of the second spring is fixedly connected to the transverse shaft, and the other end of the second spring is fixedly connected with the conical sleeve. An alarm triggering module is installed on the dome shell, and through the synergistic effect of an I-shaped balancing weight-spring inertia system and a conical sleeve triggering mechanism, the acceleration detection and alarm functions of a pure mechanical structure are achieved.

The invention discloses a contact type alarm output device for a mechanical accelerometer, and relates to the technical field of accelerometers, the contact type alarm output device comprises a dome shell, and the dome shell is provided with a first cavity; the first contact, the second contact, the first alarm output lead and the second alarm output lead are inserted into the dome shell in a penetrating mode, the first alarm output lead is connected to the end, inserted into the outside of the dome shell, of the first contact, and the second alarm output lead is connected to the end, inserted into the outside of the dome shell, of the second contact. The second alarm output lead is connected to the end, penetrating into the outer portion of the dome shell, of the second contact, one end of the metal spring piece is fixedly connected to the first contact, the other end of the metal spring piece is in point contact with the second contact, and the metal spring piece and the second contact are in point contact design. And in combination with mechanical pushing of the conical sleeve, tight contact and reliable conduction during alarm triggering are ensured, and mistaken contact or poor contact caused by vibration or impact is avoided.

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 accelerometer includes a housing, a proof mass assembly encased in the housing, and one or more heating elements configured to heat the proof mass assembly in response to an electrical current. The one or more heating elements include a positive temperature coefficient of resistance (PTC) material. The PTC material exhibits a relatively high increase in resistance above a threshold temperature. For example, a ratio of the resistance of the PTC material above the threshold temperature to the resistance of the PTC material at room temperature (PTC ratio) is greater than five.

An accelerometer including: a housing; a proof mass; a piezoelectric material; a support member for holding the proof mass a predetermined distance from the piezoelectric material, the proof mass being rotatably disposed relative to the housing and having a center of gravity offset from an axis of rotation of the support member; a first biasing material for biasing the proof mass towards the piezoelectric material and against the support member; and a second biasing material for biasing the proof mass at the predetermined distance from the piezoelectric material. When a level of acceleration of the proof mass is less than or equal to an acceleration level that is to be measured, the second biasing material is configured to force the support member to rotate to disengage the proof-mass and the first biasing material to move the proof-mass to contact the piezoelectric material.

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 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.

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.

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 invention discloses a cold atom interference type low-frequency vibration measurement device and a measurement method, and solves the problems that the existing cold atom interference gravimeter measurement equipment is limited by the performance of a vibration sensor, the compensation precision is insufficient, timing calibration is needed, and the measurement precision is low. And measurement errors generated by gravity and ultralow-frequency vibration cannot be effectively separated from a measurement result of the cold atom interference gravimeter, namely, decoupling of two measurement parameters is realized, and cold atom interference measurement of low-frequency vibration is realized. The measuring device comprises a Raman laser output system, a vacuum cavity, a sensitive axis converter and a vibration detection reflecting mirror, the Raman laser output system outputs two pieces of Raman laser which have the same polarization state and are both circular polarization states; the low-frequency vibration is transmitted to the liquid crystal phase modulator through the vacuum cavity for polarization state conversion, and then is reflected to the liquid crystal phase modulator or the vibration detection reflector through the polarization splitting prism, so that the interference type low-frequency vibration of the cold atoms is measured, and decoupling of the two is realized.

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.

The invention discloses an anti-magnetic suspension accelerometer device based on a quasi-zero stiffness structure and a measurement method, and belongs to the field of precise instruments and meters. The device comprises a support, an axial displacement platform, magnetic conductive soft iron, an upper-layer pyrolytic graphite sheet, a lower-layer thin bismuth wafer, a capacitance displacement sensor and a permanent magnet array, wherein an anti-magnetic suspension system, a magnetic rigidity regulation and control system and a displacement detection system are arranged in the support; the anti-magnetic suspension system is composed of an upper-layer pyrolytic graphite sheet, a lower-layer thin bismuth wafer and a permanent magnet array, the magnetization directions of an inner ring and an outer ring of the permanent magnet array are opposite, a suspension element is suspended by virtue of anti-magnetic force and gravity balance, and quasi-zero stiffness is realized through positive and negative stiffness offset; according to the regulation and control mode, the magnetic field of the air gap where the suspension element is located is adjusted by adjusting the distance between the magnetic conductive soft iron and the permanent magnet, and the magnitude and gradient of magnetic induction intensity in all directions are changed, so that the magnetic rigidity is regulated and controlled, and efficient and accurate regulation and control of the sensitivity and the measuring range of the anti-magnetic suspension accelerometer are achieved. Therefore, the application range of the anti-magnetic suspension accelerometer is expanded.

The invention provides an IMU sensor space-time fusion industrial defect detection system and method based on an SORT algorithm. The method comprises the steps that S1, system initialization and space-time calibration are carried out, a time synchronization model is established, the single pixel size dpixel is calculated, and IMU and camera coordinate system registration is completed; s2, collecting asynchronous data, and obtaining working parameters of a camera and the speed vt of a conveyor belt; s3, constructing an SORT state vector and predicting an IMU enhancement state, detecting defects of a current frame by adopting YOLOV8, and generating a detection set Dt; s4, executing EKF space-time fusion, and predicting and updating a defect state covariance and a position; s5, quantifying the position uncertainty sigma pos, calculating an optimal acquisition period Topt, controlling the line frequency of the camera, and carrying out confidence verification and misjudgment elimination; s6, cloud federated filtering fuses the edge and the cloud state, IMU zero offset is estimated, and cooperation of multiple detection devices and system expansibility enhancement are achieved.

The invention relates to a flattened three-dimensional acceleration and three-dimensional force composite sensor and a detection method thereof, and belongs to the field of sensors. According to the technical scheme, the flattened three-dimensional acceleration and three-dimensional force composite sensor comprises a force sensor module and an acceleration sensor module, the force sensor module comprises four shear effect force detection elements and four longitudinal effect force detection elements, and the four shear effect force detection elements and the four longitudinal effect force detection elements are coplanar. The acceleration sensor module comprises four shear effect acceleration detection elements and four longitudinal effect acceleration detection elements, and the four shear effect acceleration detection elements and the four longitudinal effect acceleration detection elements are coplanar. According to the scheme, the sensitive elements with the longitudinal effect and the shear effect are combined, three-dimensional detection is achieved through the thickness of the single-layer sensitive element, flattening of the sensor is achieved through single-layer arrangement of the sensitive elements, thermal expansion and stress are greatly reduced in the installation direction, and the detection precision is guaranteed.

The invention discloses a motor fault diagnosis method and a motor controller. The method comprises the following steps: acquiring a near-field electromagnetic noise audio signal and a vibration acceleration signal of a motor shell when a motor runs; performing short-time Fourier transform on the near-field electromagnetic noise audio signal, and extracting an original electromagnetic voiceprint feature vector representing an internal electromagnetic state of the motor; the vibration acceleration signal is used as a modulation source, amplitude modulation processing is carried out on the original electromagnetic voiceprint feature vector, and a modulated electromagnetic voiceprint feature vector is generated; performing time domain coherence calculation on the original electromagnetic voiceprint feature vector and the modulated electromagnetic voiceprint feature vector to generate a two-dimensional electromagnetic-mechanical voiceprint interference map; and inputting the electromagnetic-mechanical voiceprint interference atlas into a convolutional neural network CNN, and outputting a final motor fault diagnosis result. According to the embodiment of the invention, the method can improve the discrimination of fault features, and achieves the high-precision diagnosis of motor faults under a complex working condition.

Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and / or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

The invention discloses a dynamic calculation method based on piezoresistance-resistance composite vacuum transmitter switching, and relates to the technical field of vacuum transmitters, and the method comprises the steps: obtaining a vacuum degree trend coefficient through a piezoresistance gauge vacuum degree acceleration and a resistance gauge vacuum degree acceleration; obtaining a sensitivity compensation coefficient and a vacuum degree change coefficient based on the vacuum degree trend coefficient, then obtaining a vacuum degree change abnormal coefficient based on the vacuum degree change coefficient, and finally determining the final vacuum degree based on the vacuum degree trend coefficient, the sensitivity compensation coefficient and the vacuum degree change abnormal coefficient. The output voltage of the piezoresistance-resistance composite vacuum transmitter can be obtained through the vacuum degree, the signal output smoothness can be effectively improved, the measurement accuracy is improved, and seamless signal connection is achieved.

A microelectromechanical sensor component. The component includes: a substrate; a movable sensor structure connected to the substrate and having a seismic mass portion and a deflection electrode arranged thereon; and at least one evaluation electrode arranged on the substrate. The deflection electrode is arranged so as to be movable relative to the evaluation electrode. The evaluation electrode is configured for capacitive detection of a deflection of the deflection electrode. The deflection electrode and the evaluation electrode form a comb structure. The deflection electrode has a plurality of deflection electrode fingers extending from a deflection electrode bar in the direction of the evaluation electrode. The evaluation electrode has a plurality of evaluation electrode fingers extending, parallel at least in portions to the deflection electrode fingers, from an evaluation electrode bar in the direction of the deflection electrode.

The invention relates to the technical field of positive-end compression type acceleration sensor vibration sub-assemblies, in particular to a positive-end compression type acceleration sensor vibration sub-assembly assembling mechanism and method.The positive-end compression type acceleration sensor vibration sub-assembly assembling mechanism comprises a pressure bench vice, a rotating supporting rod is arranged at the upper end of the pressure bench vice in a sliding mode, and an assembling pressing plate is arranged on the inner side of the pressure bench vice; a pressure gauge is arranged at the lower end of the pressure bench vice and used for sensing and outputting a pressure numerical value, and a jig limiting block is fixedly arranged at the lower end of the pressure bench vice and wraps the outer side of the pressure gauge. The position of the sub-assembly base placed on the inner side of the fixing sleeve can be corrected by arranging the correcting mechanism, the assembly pressing plate can be accurately pressed down for assembly, the position of the sub-assembly base can be rapidly fixed by arranging the limiting jig module, inclination caused by pressing down is prevented, and the assembly efficiency is improved. The effect of rapidly correcting and fixing the position of the sub-assembly is achieved, and the problem that the pressing assembly effect is affected due to the fact that the sub-assembly cannot be firmly fixed during assembly is solved.

Disclosed herein is an article of smart clothing which automatically recognizes body configuration and motion. This smart clothing includes inertial motion units which are distal relative to selected joints and also sets of strain sensors which span those joints. The type of energy transmitted through a strain sensor can be electrical energy or light energy. Combined multivariate analysis of data from both inertial motion units and strain sensors provides more accurate recognition of body configuration and motion than data from either alone.

The invention provides a coupling stiffness disturbance type MEMS modal localization accelerometer, which is characterized in that a core sensing unit adopts a double-tuning-fork resonator parallel arrangement configuration, and an offset weak coupling resonance system is designed and constructed through the difference of equivalent support stiffness parameters. The outer tuning fork resonator is directly connected with the sensitive mass block, the inner tuning fork resonator realizes full-constraint fixation through a base anchor point, and the outer tuning fork resonator and the inner tuning fork resonator form a double-tuning-fork electrostatic weak coupling resonant structure through an electrostatic coupling parallel plate, so that energy transfer between resonant units is realized. The mechanism of the accelerometer is different from that of a traditional rigidity or quality disturbance mode localization sensor, when the accelerometer is subjected to the action of external acceleration, the inertial micro displacement of the accelerometer is converted into coupling rigidity change of the weak coupling resonance system, the resonance unit amplitude ratio of the weak coupling resonance system is detected through an external circuit, and the detection accuracy is improved. Therefore, the detection of coupling rigidity disturbance is realized, and finally the high-sensitivity detection of the measured acceleration is realized.

The invention discloses an electric reactor vibration detection method, device and equipment and a medium, and relates to the technical field of electric power detection, and the method comprises the steps: obtaining an electric drive signal converted from the mechanical vibration of an electric reactor; based on the electric driving signal, controlling the working state of the passive vibration measurement circuit so as to perform frequency multiplication processing and amplitude modulation on the input radio frequency excitation signal to obtain a modulated harmonic signal; performing spectral analysis on the modulated harmonic signal to obtain carrier component and sideband component information, and determining a vibration frequency estimation value of the reactor based on the carrier component and sideband component information; performing inversion calculation based on the sideband component information, and determining a duty ratio estimation value corresponding to the electric driving signal; wherein the duty ratio estimated value represents the conduction time proportion of the passive vibration measurement circuit controlled by the electric driving signal; and querying a preset calibration relation based on the vibration frequency estimation value and the duty ratio estimation value to obtain the vibration acceleration of the reactor. The method can obtain an accurate detection result.

A method for detecting malfunctions in inertial measurement units which are used in a vehicle to measure angular velocities and specific forces may have at least three inertial measurement units. Each inertial measurement unit may have a plurality of sensors, such as accelerometer and gyroscopic sensors. A first inertial measurement unit is used as a master inertial measurement unit. A second inertial measurement unit and a third inertial measurement unit, the capabilities of which can be lower than those of the first inertial measurement unit, are used as slave inertial measurement units. Measurements of the master inertial measurement unit are used as reference values to compensate measurements of the slave inertial measurement unit regarding estimation of error model parameters with respect to the master inertial measurement unit to detect a malfunction in one of the three sensor signals.

A capacitance-type sensor 1 comprises: a first substrate layer 30; and a device layer 10 having a movable part 12 in which a change in capacitance is detected on the basis of the distance between the movable part 12 and the first substrate layer 30. The movable part 12 has: a first main surface 12A facing the first substrate layer 30; and at least one first convex part 61, 62 provided on the first main surface 12A. The first convex part 61, 62 has, in plan view: a first top section 61A, 62A having a curved surface at the center section of the first convex part 61, 62; and a first inclined surface 61B, 62B provided around the first top section 61A, 62A.

The invention discloses a zero-dispersion nonlinear MEMS accelerometer for monitoring construction stress of a floating fan platform, and belongs to the technical field of ocean engineering structure monitoring. The zero-frequency-dispersion nonlinear MEMS accelerometer comprises a mass block, an amplification beam pair assembly, an electrode system and resonant beams arranged on the two sides of the mass block in a bilateral symmetry mode, and the mass block is connected with the resonant beams through the amplification beam pair assembly. According to the invention, adjustable static nonlinearity is introduced in the capacitance excitation process of the double-end clamped resonant beam, and the adjustable static nonlinearity is matched and counteracted with the geometric nonlinearity of the resonant beam, so that the resonator enters a zero-frequency dispersion working area within a preset excitation range, and therefore, under the working conditions of construction load disturbance, structural vibration amplitude fluctuation and the like, the resonance efficiency of the resonator is improved. Frequency response information related to structural dynamic characteristics can still be stably output, and a high-stability perception basis is provided for inversion analysis of welding residual stress and structural health states.