1272results 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.

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 present invention features a micrometer-scale torsion balance device comprising a rigid mass and two or more nanoribbons attached to the rigid mass. The rigid mass may be suspended by the two or more nanoribbons. The two or more nanoribbons may be placed under tensile stress. A local acceleration value may be derived from a torsional stiffness of the two or more nanoribbons. In some embodiments, the rigid mass may comprise silicon. In some embodiments, the two or more nanoribbons may comprise silicon nitride. In some embodiments, the rigid mass may have a polygon shape, the polygon shape having four or more sides. A side of the four or more sides may be longer than all others.

Exemplary system, method and computer-accessible medium for selecting at least one location of (i) at least one receiver or transceiver or (ii) at least one transmitter or transceiver can be provided. For example, it is possible to facilitate a receipt, from the at least one transmitter or transceiver, of a plurality of signals by the receiver(s) or transceiver(s). Each of the signals has a multipath component. Then, it is possible to determine time of flight (ToF) information and angle of arrival (AoA) information of the multipath components present in the signals. Further, it is possible to determine one or more possible locations of (i) the receiver(s) or transceiver(s) or (ii) the transmitter(s) or transceiver(s) based on the ToF information, the AoA information, and a model of physical surroundings. The location(s) of (i) the receiver(s) or transceiver(s), or (ii) the transmitter(s) or transceiver(s) can be selected based on the one or more possible locations and an extended Kalman filter (“EKF”).

The invention discloses a collision sensing intelligent guardrail system and method based on Beidou positioning, and the method comprises the following steps: S1, collecting sensor data along a guardrail, and carrying out the preprocessing; s2, transmitting the preprocessed sensor data to an edge server, and forwarding the preprocessed sensor data to a cloud server through a cellular network; s3, constructing a gated convolutional network based on two channels, and inputting the state vector sequence into the gated convolutional network; s4, performing multi-layer nested coding and decoding operation on the collision feature vector, constructing a collision judgment function, and judging whether collision abnormity is triggered or not; s5, generating a collision early warning data packet when the collision level label is in an activated state; and S6, transmitting the collision alarm data packet to a road traffic command center for road maintenance personnel to quickly respond and deal with the collision alarm data packet. According to the invention, high-precision real-time perception and intelligent early warning of the collision state of the road guardrail are realized, and the automation level and response efficiency of traffic safety monitoring are obviously improved.

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 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 relates to the technical field of geotechnical engineering monitoring, in particular to a soil erosion and particle migration prediction method and system based on acoustic emission monitoring, and the method comprises the following steps: obtaining a soil mass ratio parameter, and preparing a soil sample based on the soil mass ratio parameter to obtain a test soil sample; constructing a multi-field coupling test mechanism to perform a multi-field coupling soil body test on the test soil sample; establishing a soil sample data acquisition device to obtain soil sample monitoring data in the multi-field coupling soil body test process; obtaining acoustic emission characteristic parameters of the test soil body according to the soil sample monitoring data, and establishing a multivariate nonlinear regression model; and constructing a soil body prediction model to realize prediction of soil body erosion and particle migration. Through fusion of multi-field coupling monitoring and machine learning, limitation of a traditional empirical model is broken through, high-precision dynamic prediction of soil erosion and particle migration is realized, a scientific basis is provided for stability evaluation of roadbed engineering, and prediction reliability and engineering applicability are remarkably improved.

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.

Sensor assemblies and systems comprise a housing configured to accommodate an electrical sensor device therein, mechanically retain the same, and provide a protective surrounding thereto. The housing may include display indicia relating to some aspect of the sensor assembly. The electrical sensor device include electrical components useful for the purpose of monitoring and transmitting desired data relating to operating parameters / conditions of the dynamic article that the sensor assembly is attached with, e.g., a vehicle tire. The data is transmitted wirelessly from the electrical sensor device. The housing is removably attached with a retaining member that is also attached with the dynamic article. A receiver external from the dynamic article receives the data for the purpose of determine such operating parameter / or conditions, when the dynamic article is a vehicle tire, as tire tread depth, tire pressure, vehicle camber and toe alignment variations, and tire / vehicle location, which may be stored.

The invention is suitable for the technical field of cleaning equipment, and provides a control method and device of cleaning equipment, a main control board and the cleaning equipment. The method comprises the following steps: acquiring motion data aiming at a motion state of the cleaning equipment, and acquiring an expected speed; wherein the expected speed is used for representing the speed of the cleaning equipment after the wiping strip is switched between the first state and the second state of the wiping strip, the first state is that the wiping strip makes contact with the to-be-cleaned face, and the second state is that a preset gap exists between the wiping strip and the to-be-cleaned face; based on the motion data and the expected speed, determining predicted time when the cleaning equipment reaches the expected speed; and based on the predicted time and the preset scraping strip moving time, the scraping strip is controlled to be switched between the first state and the second state. According to the embodiment of the invention, the scraping strip can be accurately controlled to be switched between the first state and the second state, so that the scraping strip is accurately controlled to be in contact with or separated from the ground at proper time, and the cleaning effect is improved.

The invention discloses a fiber bragg grating acceleration sensor with a temperature compensation function. The fiber bragg grating acceleration sensor comprises a packaging piece, a vibration pickup block, a supporting rod and a sensing optical fiber inscribed with a temperature compensation fiber bragg grating and an acceleration measurement fiber bragg grating which are connected in series, the packaging piece is rigidly connected with the vibration pick-up block; the supporting rod is matched with the packaging piece and is provided with a through hole, and the through hole is communicated with an inner cavity of the packaging piece; the sensing optical fiber penetrates through a through hole of the supporting rod, the temperature compensation fiber bragg grating is glued on the supporting rod, and the acceleration measurement fiber bragg grating is glued on the vibration pick-up block. Measurement interference of vibration conducted by the packaging piece on the temperature compensation fiber grating is weakened, meanwhile, communication of the temperature compensation fiber grating and an inner cavity of the packaging piece where the acceleration measurement fiber grating is located is maintained, and therefore temperature compensation precision is optimized, and the size of the sensor is greatly reduced. The problem of miniaturization of the fiber grating acceleration sensor with temperature compensation is solved, and the fiber grating acceleration sensor can be used for acceleration measurement in a narrow space.

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.

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 relates to the technical field of geological disaster monitoring, and discloses an acceleration-based landslide irreversible displacement identification method, which comprises the following steps of: 1, acquiring an abnormal acceleration data sequence a (n), and calculating a comprehensive waveform symmetry coefficient S of the abnormal acceleration data sequence; 2, discrete integration is carried out on the obtained abnormal acceleration data sequence, and a discrete speed integration result and a final displacement integration result are obtained through calculation; 3, calculating the proportion of data with the numerical value being a positive value in the discrete velocity integration result in the step 2; and 4, calculating a landslide irreversible displacement judgment index, comparing the obtained irreversible displacement judgment index with a preset threshold value, and judging and identifying whether the landslide generates irreversible displacement or not. According to the scheme, spatial irreversible displacement generated by the landslide is effectively identified by using the acceleration monitoring data, and the accuracy and reliability of realizing landslide early warning and forecasting by using the acceleration monitoring data are greatly improved.

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.

A process for manufacturing a combined microelectromechanical device envisages: forming, in a sensor wafer, at least a first and a second microelectromechanical structures, at a main surface; forming, in a cap wafer, at least a first and a second cavities, at a respective main surface; forming a getter region inside the first cavity; bonding the main surfaces of the sensor and cap wafers by means of a bonding region, to define a first and a second hermetic environments for the microelectromechanical structures at different pressure values. A raised frame is formed, before the bonding step, in such a way as to be located around the first cavity; the bonding region determines the bonding of the sensor and cap wafers at the raised frame and the definition of the first hermetic environment associated with the first cavity, in a time interval prior to hermetic closure of the second cavity.

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.

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.

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 relates to a method and a system for measuring angular acceleration of a rotating object based on fractional Fourier transform, and the method comprises the following steps: a detection light beam irradiates the rotating object, and the rotating object modulates the detection light beam to generate a scattered light signal; a scattered light signal on the surface of the rotating object is obtained and subjected to photoelectric conversion to obtain a linear frequency modulation electric signal, namely a time-varying signal; applying different transformation orders to the time-varying signal to carry out fractional Fourier transform, and converting the time-varying signal from a time domain to a fractional domain; determining an optimal transformation order in the fractional domain through a peak search algorithm; and obtaining the angular acceleration of the rotating object according to the corresponding relation between the fractional Fourier transform order and the angular acceleration based on the optimal transform order. According to the method, the fractional Fourier transform is introduced, and the optimal transform order is determined through the peak search algorithm, so that the energy focusing characteristic and the anti-noise capability of the signal are remarkably improved, and non-contact high-precision measurement of the uniformly accelerated rotating object is realized.

A vehicle (50) comprising an orientationally flexible bump sensor (35f, 35r), which orientationally flexible bump sensor comprises: at least one bump sensor mounted to said vehicle, said at least one bump sensor comprising at least two axes of measurement; and a computer processor configured to: evaluate said at least two axes of measurement to determine which axis of said at least two axes of measurement has a highest magnitude vector; determine a gain value to cause said highest magnitude vector to be approximately lg; and assign said gain value to said axis with said highest magnitude vector, such that said gain value is applied to each measurement generated by said axis with said 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.