783results about "Acceleration measurement" patented technology

The invention relates to a shear-based acceleration and pressure composite sensor and an assembly method thereof, and belongs to the field of composite sensors. According to the technical scheme of the acceleration and pressure composite sensor based on the shear type structure, an acceleration detection module comprises a mass block of a regular polygon prism structure, and each side face of the mass block is provided with an acceleration sensitive ceramic piece; the pressure detection module comprises a force transmission column of a regular polygon prism structure, and each side face of the force transmission column is provided with a pressure sensitive ceramic piece, an electrode piece and an insulation block. According to the scheme, the sensitive elements of the acceleration sensor and the pressure sensor core are arranged in a polygonal mode to form a spatial three-dimensional structure, the effective area of the sensitive elements in unit volume is increased, the multiple sensitive elements act together to form superposition of pressure signals, the detection precision and sensitivity of the two are guaranteed, and the detection precision is improved. Therefore, the overall size of the composite sensor is greatly reduced on the premise that the original precision is maintained, and the composite sensor is miniaturized.

The invention discloses a pump set vibration monitoring method and system based on distributed sensing. The method comprises the steps that vibration collection signals and real-time working condition parameters of distributed sensing nodes are obtained, multi-node clock synchronization correction is executed, and synchronous vibration data frames are formed; time-frequency feature extraction is carried out on the multi-channel vibration data set, abnormal channels are identified through inter-channel consistency analysis, a local fault correlation frequency band is extracted, and a vibration feature vector is constructed; associating the vibration feature vector with a real-time working condition parameter to form a working condition-feature mapping table, identifying a feature mutation rotating speed point for the feature baseline, adaptively dividing a rotating speed interval to generate an adaptive working condition threshold value, and implementing out-of-limit detection to generate an abnormal trigger identifier; determining a traceability analysis window based on the abnormal trigger identifier, and executing multi-measuring-point coherence calculation and energy attenuation gradient analysis to construct an energy transfer link diagram; and finally, vibration source position positioning is performed to form fault source probability distribution, a fault mode label is matched, pump set vibration monitoring is completed, and quantitative positioning of a fault source is realized.

The invention relates to the technical field of bridge health monitoring, and discloses a method for monitoring the bearing capacity state of a bridge latticed column structure. The method comprises the following steps: constructing an original monitoring field according to a sensor time sequence signal, and generating a state evolution sequence representing the overall dynamic evolution of the bridge latticed column through multi-dimensional space reconstruction, so as to capture the nonlinear characteristics of the structure behavior and provide a basis for anomaly detection. And positioning a potential abnormal region based on the deviation degree from the reference model, and extracting a time-varying characteristic spectrum of the potential abnormal region to drive the digital twin model to perform simulation so as to obtain a simulation response spectrum. The simulation response spectrum and the actual measurement state evolution sequence are subjected to space-time fusion, a mixed state field fusing real data and physical mechanism inference is generated, a monitoring blind area is made up, and the data reliability is improved. And by performing multi-scale decomposition on the mixed state field, the specific state mode of the bearing capacity of the bridge latticed column is identified, and more accurate and more complete evaluation of the bearing capacity abnormity is realized.

The invention discloses an asymmetric coupling rigidity disturbance type MEMS modal localization accelerometer and a detection method. The accelerometer comprises an upper signal conversion layer and a lower glass substrate layer. The upper signal conversion layer comprises a sensitive mass block, a supporting structure and asymmetrical coupled resonator pairs which are symmetrically distributed. According to the asymmetric coupling resonator pair, a first type resonator and a second type resonator form a weak coupling system through electrostatic coupling, the first type resonator is fixed to a glass substrate layer through anchor points, the second type resonator is fixed to a sensitive mass block, and the first type resonator and the second type resonator meet the mass and rigidity asymmetric relation. When being subjected to the acceleration effect, the sensitive mass block generates micro displacement, changes the static coupling rigidity and triggers the modal localization effect, so that the amplitude ratio of the two resonators is changed, and acceleration measurement is realized by detecting the amplitude ratio change. By adopting the asymmetric structure, the sensitivity of the accelerometer is doubled compared with that of a symmetric structure, and meanwhile, the accelerometer has good linearity and anti-interference capability.

The invention discloses a motor vehicle exhaust monitoring and early warning method based on the Internet of Things, and particularly relates to the field of motor vehicle exhaust monitoring, and the method comprises the steps of reference matrix construction and storage, real-time data acquisition, vehicle working condition exhaust concentration weighted comprehensive deviation degree calculation, secondary check, standard exceeding judgment, graded early warning and reference matrix iterative optimization. According to the invention, a three-dimensional tensor exclusive reference matrix is constructed for each registered motor vehicle through the cloud system, the roadside sensing module is combined to collect the multi-component concentration, speed and acceleration data of the tail gas, and the weighted comprehensive deviation degree is quantitatively calculated through matrix operation, so that high-precision tail gas standard exceeding judgment is realized; according to the method, the reference matrix is dynamically optimized through the recursive least square method, monitoring failure caused by misinformation, missed information and reference disjunction is avoided, the environmental protection supervision efficiency is improved, unnecessary supervision resource waste is reduced, and long-term accurate operation of a monitoring system is guaranteed.

The invention relates to the technical field of oil level monitoring, in particular to a transformer oil level monitoring device and system based on dual-mode ultrasonic sensing. The method comprises the following steps: acquiring transformer oil level and vibration acceleration; threshold value differences are obtained through oil level comparison, and the oil levels are divided; based on different types of oil level fluctuations, quantities and intervals, oil level anomaly comprehensive indexes are obtained; after the over-limit oil level is screened, an oil level abnormal factor is determined, and an oil level abnormal value is obtained in combination with the oil level abnormal comprehensive index; determining a change moment and a reaction time range based on the vibration acceleration; an acceleration oil level influence factor is determined by analyzing correlation, and a fault characteristic value is obtained in combination with an interference factor; and monitoring the oil level through the fault characteristic value. The reliability of the whole monitoring system is improved.

A fibre-optic sensor for measuring a physical quantity, such as a pressure, force, acceleration or tilt, includes an optical fibre having a measurement section for measuring a strain in the fibre, and first and second structural members. The optical fibre is connected to a first fibre connection section of the first structural member and to a second fibre connection section of the second structural member. The first and second connection sections are arranged on opposite sides of the measurement section, such that at least the measurement section is suspended between the first and second fibre connection sections. At least one of the structural members is movable relative to the other in dependence of the physical quantity that is measured. The structural members are made from materials having different coefficients of thermal expansion such that a temperature induced strain in said optical fibre due to a temperature change is reduced.

The invention discloses a vibration displacement sensor system for bridge operation monitoring and a use method thereof, and belongs to the technical field of bridge engineering. The system comprises data acquisition ends and data receiving and processing ends, the data acquisition ends are fixed to bridge piers, bridge abutments or the side faces of beam slabs, each data acquisition end comprises a capacitive acceleration sensor, a microwave signal antenna, a double-lithium battery pack and a solar cell panel, and the data receiving and processing ends are installed at stable positions of the two banks of a bridge. Comprising a multi-channel microwave receiving module, an edge computing unit, a 4G / 5G / LoRa / NB-IoT multi-network transmission module and a phase difference computing module. According to the invention, the problems of insufficient stability and poor environmental adaptability of existing data transmission are solved. According to the invention, through integration of temperature compensation, anti-interference communication, intelligent power supply optimization and rapid installation design, high-precision, all-weather and low-power-consumption monitoring is realized.

An orientationally flexible bump sensor is disclosed. The system includes at least one bump sensor mounted to a vehicle, the at least one bump sensor comprising at least two axes of measurement. A computer processor is configured to evaluate the at least two axes of measurement to determine which axis of the at least two axes of measurement has a highest magnitude vector and determine a gain value to cause the highest magnitude vector to be approximately 1 g. The computer processor will assign the gain value to the axis with the highest magnitude vector, such that the gain value is applied to each measurement generated by the axis with the highest magnitude vector.

Features relating to a cartridge for use with a vaporizer body are provided. The cartridge mates with the vaporizer body in a cartridge receptacle. The cartridge may include a cartridge body defining a reservoir configured to contain vaporizable material; a mouthpiece coupled to a proximal end region of the cartridge body; at least one proximal absorbent pad wedged within an internal volume of the mouthpiece; a mouthpiece seal with sealing ribs; a cannula defining a vaporization chamber extending through the cartridge body; a resistive heating element; a porous wick configured to draw the vaporizable material in the reservoir towards the vaporization chamber; an internal sealing gasket positioned in a distal end region of the cartridge body; a lower support structure positioned in the distal end region of the cartridge body; and at least one distal absorbent pad configured to wedge within a recess located in the lower support structure.

A finger-worn wearable ring device may include a ring-shaped housing, a printed circuit board, and a sensor module that includes one or more light-emitting components and one or more light-receiving components. The wearable ring device may further include a communication module configured to wirelessly communicate with an application executable on a user device.

The invention belongs to the technical field of MEMS sensor signal processing, and discloses an MEMS sensor signal processing method and system based on an RLS-VMD fusion algorithm, and the method comprises the steps: continuously collecting an original acceleration signal at a preset sampling frequency through an MEMS sensor; offset in the original acceleration signal is eliminated through iterative calculation based on an RLS algorithm, and an offset correction signal and a residual error are obtained; a dynamic energy threshold value is obtained based on residual calculation, and frequency characteristic secondary verification is carried out on each screened modal component; carrying out superposition reconstruction to obtain an acceleration signal; and taking the purified acceleration signal as input, performing two times of integral operation based on the Newton's law of motion to realize displacement calculation, and finally outputting a displacement signal. According to the method, a correlation mechanism of RLS offset correction and VMD screening parameters is established, deep collaboration is achieved, and finally the acceleration signal processing quality and the displacement calculation precision of the MEMS sensor are improved.

A fixture for a rail includes a plate and an overhang rigidly extending from the plate, in which the overhang defines a slot beyond the plate. The plate defines a head interfacing edge and a foot interfacing edge, in which each of the head interfacing edge and the foot interfacing edge extending parallel to a longitudinal axis. The overhang extends from the foot interfacing edge and disposes the slot parallel to and spaced apart from the foot interfacing edge. The overhang includes a proximal slot surface and a distal slot surface. The proximal slot surface and the distal slot are spaced apart and defines the slot therebetween. A rail clamp system may include the fixture coupled with an acceleration measurement module which in turn may be configured for operable communication with a wireless data transmission module.

A semiconductor device for use in a sensor device has a deformable membrane for the measurement of an acceleration, a vibration, or a pressure. The semiconductor device includes a deformable membrane having a membrane border; a structure holding the deformable membrane in correspondence of the membrane border; at least one electric contact to obtain an electric signal indicative of deformation of the deformable membrane; and mass elements suspended from the membrane.

An electronic device is provided. The electronic device includes a housing including a first housing, a second housing and a hinge structure rotatably connecting the first housing and the second housing relative to each other, a display disposed on the housing, and including a first display area disposed on the first housing, a second display area disposed on the second housing, and a folding area configured to be at least partially foldable, and at least one electromagnet disposed between the hinge structure and the folding area, wherein, when the housing is in a folded state, the folding area is configured to form an accommodation space for accommodating a digital pen including at least one magnetic member.

Systems and methods include reception, for each of a first plurality of consecutive time periods, of an acceleration value associated with a first location of a structure, determination of a first value of a first indicator based on absolute values of the acceleration values, determination of a second value of a second indicator based on absolute values of differences of consecutive one of the acceleration values, determination of a first value of an index based on the first value and the second value, determination of a physical characteristic of the structure based on the first value of the first indicator and the first value of the index, and transmission of an alert based on the physical characteristic.

Disclosed is a smart ring device including: a sensor, an outer ring, an inner ring disposed inside the outer ring, a printed circuit board disposed between the outer ring and the inner ring, and a first protrusion protruding from one surface of an inner part of the inner ring in a central direction of the smart ring device, the printed circuit board may include a first light receiving element disposed in a first position of the outer ring, and a first light emitting element disposed at a second position of the outer ring, and configured to transmit a first signal of a first frequency band, wherein the first protrusion may include a first part protruding from the first light emitting element in a first direction facing the center of the smart ring device, and a second part connected to the first part, and protruding from the first light receiving element in a second direction facing the center of the smart ring device.

A finger-worn wearable ring device may include a ring-shaped housing, a printed circuit board, and a sensor module that includes one or more light-emitting components and one or more light-receiving components. The wearable ring device may further include a communication module configured to wirelessly communicate with an application executable on a user device.

The invention belongs to the field of acceleration measurement, and particularly discloses a multi-acceleration-sensor data fusion method and system, and the method comprises the steps: obtaining acceleration signals measured by each accelerometer when a preset acceleration signal is inputted into calibration equipment when an accelerometer assembly composed of N accelerometers is disposed on the calibration equipment, the measuring ranges of the N accelerometers are complementary to the noise level range; considering the inclination angle error of the rotary table, the installation angle error of each accelerometer and the non-orthogonal error of each accelerometer, the coordinate system of each accelerometer is converted to the same geographic coordinate system, and each accelerometer is calibrated by combining the acceleration signal measured by each accelerometer and the input preset acceleration signal. Obtaining calibration parameters of each accelerometer; the calibration parameters are used for compensating acceleration signals measured by the accelerometers. According to the invention, large-dynamic-range acceleration measurement is realized.

The invention provides a water supply pipe network leakage detection method and device based on an accelerometer and a readable storage medium thereof, and belongs to the technical field of pipe network detection. The method comprises the following steps: acquiring an original acceleration signal; the acceleration signal is accurately converted into a displacement vibration signal by adopting double-order integral drift suppression processing so as to overcome low-frequency drift; carrying out time-frequency analysis on the displacement signal, and extracting transverse characteristics representing the physical nature of leakage; the transverse characteristic is characterized based on three dimensions of time continuity, frequency broadband and amplitude stability; a self-adaptive threshold value is adopted to judge the transverse characteristics, and the threshold value is dynamically generated according to real-time background noise characteristics; and finally, multi-dimensional comprehensive judgment can be carried out by combining time domain auxiliary conditions such as a peak factor and a zero-crossing rate, and a leakage result is determined. The problems of integral drift, inaccurate feature extraction and poor robustness are solved, and low-cost, high-precision and low-false-alarm leakage detection is realized.

Disclosed herein is a method (1500) of identifying an intentional gesture. The method (1500) includes detecting (1502) a real-world gesture performed by a user immersed in a virtual reality or an augmented reality (VR / AR) environment and receiving (1504) data associated with the user and corresponding surroundings. Further, the method (1500) includes determining (1506) a plurality of data features based on the received data and the real-world gesture. Further, the method (1500) includes categorizing (1508) the plurality of data features into at least one user feature and at least one event feature. Further, the method (1500) includes estimating (1510) an intent probability of the real-world gesture based on the real-world gesture and the categorized plurality of data features. Further, the method (1500) includes identifying (1512) that the real-world gesture is intentional for the VR / AR environment based on the intent probability being above a first threshold.

The invention relates to the technical field of power cabinets, and provides an anti-seismic power cabinet device and a control method thereof. The anti-seismic power cabinet device comprises a cabinet body which is of a frame structure and is internally provided with a damping supporting piece; the damping system is arranged on the cabinet body and comprises a basic damping element and a self-adaptive damping element; the sensor assembly is arranged in the cabinet body and used for monitoring the vibration acceleration, the inclination angle and the equipment displacement state of the cabinet body; the data processing and control assembly is connected with the sensor assembly; and the protection execution mechanism is in control connection with the data processing and control assembly, is configured in the cabinet body, and is used for responding to the protection triggering instruction to execute a protection action. Through effective damping and protection measures, the mechanical stress of vibration such as earthquakes to equipment in the power cabinet is reduced, and the abrasion and fatigue damage of the equipment are reduced, so that the service life of the equipment is prolonged, and the maintenance cost and replacement frequency of the equipment are reduced.

Provided are a disease-condition assessment device for assessing a disease condition of a subject, a disease-condition assessment method, a program for disease-condition assessment device, and a disease-condition assessment system. The operation-quantity data that the subject operates the vehicle is acquired, the operation-related data in the components of a predetermined frequency range is calculated from the operation-quantity data, the operation value that quantifies the operation-related data is calculated from the operation-related data, and the disease condition of the subject is assessed depending on the operation value.

The invention provides an integrated digital eddy current sensor system, belongs to the technical field of eddy current sensors, and can at least partially solve the problem of poor dynamic response precision in the prior art. The integrated digital eddy current sensor system provided by the embodiment of the invention is characterized in that the integrated digital eddy current sensor system has a three-stage collaborative structure, and the three-stage collaborative structure comprises a dynamic polynomial engine, a hardware acceleration unit and a phase compensation module, wherein the dynamic polynomial engine is used for generating a frequency-amplitude-phase three-dimensional mapping table by adopting a polynomial equation and outputting multiple groups of parallel coefficients to the hardware acceleration unit; the hardware acceleration unit is used for constructing a pipeline computing architecture so as to realize parameter updating and compressed encoding of a set period; and the phase compensation module is used for establishing a phase error feedback closed loop and controlling the phase error within a set error range under a reference signal.

The invention discloses an ice layer thickness measuring device and method. The ice layer thickness measuring device comprises a power supply assembly, a floating plate assembly, a measuring assembly, an analysis and calculation assembly and a wireless transmission assembly, the measuring assembly comprises a plurality of acceleration sensors which are sequentially arranged in the direction perpendicular to the water surface to be measured. The power supply assembly and the analysis and calculation assembly are both packaged in the floating plate assembly, and the floating plate assembly is used for bearing the power supply assembly and the analysis and calculation assembly and floats on the water surface to be detected; when the thickness of the ice layer is increased, the acceleration sensors are confined in the ice layer under the action of the ice layer, and the analysis and calculation assembly determines the number of the confined acceleration sensors according to acceleration signals fed back by the acceleration sensors. And the measured thickness information of the ice layer is transmitted to a user side through a wireless transmission assembly. The measuring device provided by the invention can monitor the thickness and change condition of the ice layer in the water area for a long time.

The invention relates to a dual-mass-block three-axis acceleration sensor and a processing method thereof. The sensor comprises an X-axis and a Y-axis which are arranged on a first mass block, and a Z-axis which is independently arranged on a second mass block. The X-axis movable comb tooth structure and the Y-axis movable comb tooth structure are arranged outside the first mass block; the movable comb tooth structure of the Z axis is arranged in a central area between the first mass block and the second mass block, and an included angle of 135 degrees or 45 degrees is formed between the extension direction of the movable comb tooth structure of the Z axis and the extension directions of the movable comb tooth structures of the X axis and the Y axis; the first elastic supporting piece is connected to the first mass block and the substrate and used for sensing the X-axis acceleration and the Y-axis acceleration. The second elastic supporting piece is connected to the second mass block and the substrate and used for sensing the Z-axis acceleration. The fixed comb tooth structures of the X axis, the Y axis and the Z axis are fixed to the substrate through anchor points and arranged in a staggered mode with the movable comb tooth structures. The X-axis, the Y-axis and the Z-axis are arranged on different mass blocks, the comb tooth structure forms an included angle, the cross-axis sensitivity is reduced, and the size is reduced.

Devices and associated method are shown that include a mass movably coupled over a substrate. In selected configurations, a controlled contact system is coupled between the mass and the at least one stopper. Examples are also shown where the controlled contact system includes a first stage contact coupled to a flexible beam and a second stage contact.

According to one embodiment, a condition monitoring apparatus includes a processing circuitry. The processing circuitry is configured to collect a sensor signal output from a sensor that monitors a condition of a mechanical device that is at least partially mobile. The processing circuitry is configured to diagnose a presence or absence of an anomaly in the mechanical device based on the sensor signal. The processing circuitry is configured to cut out the sensor signal in a time width according to any one or more of a speed, an acceleration, and a jerk of the mechanical device. The processing circuitry is configured to determine the presence or absence of an anomaly based on the cut out sensor signal.