15 results about "Vector sensor" patented technology

1. The name of the design product: embankment hidden danger detection vector sensor. 2. The use of the design product: used in the field of water conservancy engineering, specially buried or placed in the interior and surface of the dam, and the hidden dangers such as seepage and cavity are detected by sensing the vector information of physical field. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view.

The invention relates to the field of state monitoring, in particular to a transformer substation secondary safety measure tool installation state real-time capturing method and system, and the method comprises the following steps: obtaining a magnetic induction vector sensor signal, calculating the magnetic induction change of adjacent time points, judging whether the change rate exceeds a threshold value or not, calculating the strain change rate, and comparing the strain change rate with the threshold value. According to the method, accurate monitoring of the tool installation state is achieved through the sensor technology and data analysis, tool approaching, contact and action time points are accurately recognized through collection and analysis of magnetic induction and strain data, and the tool installation state event data are generated. According to the tool state management method, the tool state management system and the tool state management system, the tool state management system and the tool state management system are integrated and bound and verified with the operation ticket data, so that the real-time performance and precision of monitoring are improved, human factor interference is avoided, the feedback capability of the equipment state is enhanced, safety and reliability are improved, and compared with a traditional technology, efficient and accurate tool state management is achieved, and dynamic monitoring of equipment operation is optimized.

The application discloses a signal processing method and device of a three-dimensional integrated MEMS sound vector sensor, and belongs to the technical field of sound signals in a three-dimensional space. The application utilizes MEMS sound vector sensitive chips placed on two pairs of parallel corresponding sides, the sensitive directions of the four MEMS sound vector sensitive chips and the horizontal direction can be any angle, and the sound signal distribution in the three-dimensional space is obtained by solving the four vector velocity signals. Compared with a traditional orthogonal structure, the application can reduce the directional asymmetry problem caused by the MEMS sound vector sensitive chips not sharing a point, reduce the asymmetry of the axial sensitivity, and provide the possibility of the point correction of the back end. In addition, because the MEMS sound vector sensitive chips can be placed at any angle, the problem caused by the chip placement angle error during assembly can be reduced.

The application discloses a device and a method for measuring the local density of states of a sound field, and the measuring device comprises a sound source, a square waveguide, a MEMS silicon microphone and an acoustic vector sensor; one end of the square waveguide is connected with the sound source, and the other end is embedded with the MEMS silicon microphone and the acoustic vector sensor which are attached to the inner wall of the square waveguide. By measuring the particle velocity of the end surface of the waveguide, the volume flow rate of the waveguide into the measured structure can be obtained, and the local density of states of the measured structure can be calculated by combining the sound pressure obtained by the MEMS silicon microphone. The application overcomes the difficulty that the volume flow rate of the sound source in a narrow area cannot be accurately measured by using the vector detection technology, realizes the experimental measurement of the local density of states of the sound field, can be applied to the characterization of acoustic structural materials, and provides guidance for the design of acoustic radiation structures.

The invention discloses a sound source localization method based on an NV-SRP neural network model, and relates to the technical field of sound source localization, and the sound source localization method based on the NV-SRP neural network model mainly comprises the steps: constructing a training and testing data set according to an acoustic vector sensor signal receiving model and an SRP-PHAT algorithm, and training the sound source localization network to obtain a trained sound source localization network, and predicting target sound source localization to obtain a prediction result. By implementing the sound source localization method based on the NV-SRP neural network model provided by the invention, the sound source localization precision and stability can be improved.

The application discloses a full-space acoustic vector sensor array calibration method and system, which comprises the following steps: constructing an acoustic vector sensor array, arranging at least three non-coplanar calibration sound sources around the array; obtaining acoustic signals, performing frequency domain processing, and obtaining frequency domain data of array sound pressure channels and particle velocity channels; constructing a first loss function with phase difference information as a physical constraint from the frequency domain data of the array sound pressure channels, training a position error estimation neural network established, and outputting position error parameters of each vector sensor in the array; updating the geometric model of the array, calculating the incident azimuth and elevation angle of the calibration sound source relative to each array element; constructing a second loss function with energy projection information as a physical constraint from the incident azimuth and elevation angle and the frequency domain data of the particle velocity channels, training an orientation error estimation neural network established, and outputting orientation error parameters of each vector sensor; and completing array calibration from the position and orientation error parameters.

The invention belongs to the technical field of detection devices, particularly relates to a stainless steel diamagnetic performance detection device, and solves the problems that a traditional device is single in detection position, easy to interfere, low in material taking efficiency and incapable of analyzing the element ratio. An L-shaped supporting arm is arranged on a workbench of the device, a fixing rod I is arranged at the bottom end of an output shaft of an in-arm air cylinder, and a plurality of magnetic vector sensors are arranged at the bottom end; the workbench is provided with a driving structure which comprises a groove, a rotating shaft, a rubber roller and the like, and a bearing disc pushes a stainless steel plate when moving up and down through cooperation of a one-way bearing, a straight gear and a rack; in the discharging structure, a fixed disc drives an antimagnetic shielding box, and a push plate is driven by a pin rod I, a rotating disc and the like to push out a stainless steel plate; an extrusion structure is further arranged, a hydraulic cylinder pushes an extrusion roller to be matched with an extrusion groove to conduct cold bending on the stainless steel plate, and the element proportion is detected and analyzed again; the method is mainly used for stainless steel diamagnetic performance detection and element ratio analysis.

The invention belongs to the technical field of sound field calculation, and particularly relates to a sound field calculation method, program and equipment for an open cylindrical cavity embedded rigid spherical scatterer based on modal matching and spectrum expansion and a storage medium. Unified solution of intra-cavity scattering and outer domain radiation is realized through a column mode expansion and sphere-column wave function interchange relation, a mode radiation impedance matrix is constructed to eliminate an outer domain unknown spectral quantity by using a Somerfeld spectrum to naturally meet an outer radiation condition, and a numerical solution analysis framework is formed. According to the method, the calculation efficiency is remarkably improved while the geometric accuracy is guaranteed, and the method is suitable for sound field prediction and optimization design of a complex perforated structure, acoustic material and vector sensor integrated system.

This invention belongs to the field of sound field reconstruction and sound source identification technology. It discloses an equivalent source sound field localization method and system based on sparse sound intensity measurement. The method involves acquiring complex sound pressure and complex particle velocity at measurement points on a holographic surface using a vector sensor array, and calculating the measured sound intensity vector. A sound intensity transfer matrix is ​​constructed based on the equivalent source method, establishing a linear measurement equation between the measured sound intensity vector and the equivalent source intensity vector. Utilizing the spatial sparsity of the equivalent source intensity, the solution for the equivalent source intensity vector is transformed into an L1 norm sparse optimization problem, solved using a convex optimization algorithm to obtain the optimal equivalent source intensity vector. Based on the optimal equivalent source intensity vector, the acoustic quantities at any point in the target sound field are reconstructed using a free-field Green's function. This invention utilizes the active component of the sound intensity vector to suppress uncorrelated noise and combines compressed sensing theory to improve the ill-conditioned nature of the inversion, achieving highly robust and accurate sound source localization and sound field reconstruction without the need for a reference microphone.

The invention provides a sound source orientation estimation method and device based on an acoustic vector sensor, and relates to the technical field of acoustics, and the method comprises the steps: constructing an actual measurement model of the acoustic vector sensor; obtaining sensitivity levels corresponding to each channel of the acoustic vector sensor under multiple frequencies, and determining an amplitude-frequency response function according to the sensitivity levels; establishing a polynomial fitting model of the amplitude-frequency response according to the amplitude-frequency response function, and determining an optimal fitting polynomial of the amplitude-frequency response data based on the polynomial fitting model; compensating an actual measurement model of the acoustic vector sensor according to the optimal fitting polynomial to obtain a compensation signal; determining an acoustic vector signal covariance matrix after amplitude-frequency response compensation according to the compensation signal; and a spatial spectrum function is constructed according to the acoustic vector signal covariance matrix, and the sound source orientation is determined based on the spatial spectrum function, so that the influence of non-ideal amplitude-frequency response of the acoustic vector sensor can be effectively suppressed, and the sound source orientation estimation precision is improved.

The invention provides an aircraft sound source positioning method and device based on a sound vector scalar fusion sound array. The method comprises the following steps: firstly, constructing an acoustic vector scalar fusion acoustic array by using an acoustic vector sensor and an acoustic pressure scalar microphone which are used for simultaneously measuring a three-dimensional acoustic vector and an acoustic pressure scalar, measuring an acoustic signal emitted by a sound source of a target aircraft, and establishing a far-field signal receiving model of the acoustic vector scalar fusion acoustic array; then, projecting an acoustic vector signal of the acoustic vector scalar fusion acoustic array to an observation direction to obtain an acoustic pressure signal expression after spatial filtering of an acoustic vector sensor, and converting a receiving signal model of the acoustic vector scalar fusion acoustic array into a receiving signal model in the observation direction, which is completely formed by acoustic pressure signal forms; and finally, for the signal receiving models in different observation directions, a beam forming method or a subspace method is adopted, and sound source localization can be realized on the basis of suppressing environmental noise. Compared with a traditional sound pressure scalar sound array, the broadband sound source space position of the aircraft is obtained more accurately, and a basis is provided for aircraft acoustic performance test research, airworthiness evidence obtaining and model identification.

The invention discloses a magnetic source high-precision positioning method and device based on single vector sensor space maneuvering, and aims to solve the problems that a traditional magnetic gradient tensor positioning method depends on a sensor array, error correction is complex, and the positioning precision is low due to the fact that the traditional magnetic gradient tensor positioning method is easily interfered by a geomagnetic field. The invention provides a magnetic source high-precision positioning device and method based on single vector sensor space maneuvering. According to the scheme, a single-vector magnetic sensor is controlled to carry out maneuvering measurement at six preset spatial symmetrical measurement points, a magnetic gradient tensor is constructed by utilizing differential operation of magnetic field data of each measurement point, and sensor device errors and environmental interference are decoupled through two times of differential processing of measurement data at different positions, so that the measurement accuracy is improved. And finally, the accurate three-dimensional position of the magnetic source is calculated. According to the method, the hardware structure is simplified, complex correction is not needed, stable and high-precision positioning can still be kept under various error working conditions, and the method is suitable for magnetic target detection in the fields of aerospace and military national defense.

This invention provides a method and apparatus for three-dimensional passive target localization. The method includes: placing a vector vertical array in water to receive broadband sound pressure and vector signals radiated by a target sound source; correcting the vector channel signals using data recorded by a vector sensor attitude device; constructing a two-dimensional steering vector in the azimuth and angle of arrival domains of the sound pressure and vector channels to obtain the target's azimuth estimate, angle of arrival estimate, and broadband beam output sound field; matching the target's angle of arrival estimate with angle of arrival template values ​​under different assumed sound source distances to estimate the target's distance; obtaining a multipath arrival delay estimate to estimate the depth of the target sound source. This invention utilizes a deep-sea vector vertical array combined with two-dimensional spatial power spectrum estimation, angle of arrival matching, and arrival delay matching to achieve three-dimensional passive localization of the target's azimuth, distance, and depth. It overcomes the limitation of traditional deep-sea scalar vertical arrays that cannot provide target azimuth information.

This invention provides a boiler water-cooled wall deformation and displacement measurement system and method, including a monitoring server and multiple multi-vector sensors. Each multi-vector sensor includes a frame and four sensing components. One sensing component is connected to each of the four sides of the frame. Each sensing component includes a laser rangefinder and a two-dimensional position detector, which are communicatively connected to the monitoring server. By installing a sensing component on each of the four sides of the frame, the two-dimensional position detector serves as both a displacement monitoring device and a reflective surface for the laser rangefinder opposite it. The laser rangefinder, while measuring the relative displacement between two adjacent multi-vector sensors, also provides a sensing spot for the two-dimensional position detector. The multi-vector sensors are arranged in a rectangular array on the backfire side of the boiler water-cooled wall, enabling overall monitoring of a large area of ​​the boiler water-cooled wall.

The utility model relates to a helicopter three-axis atmosphere vector sensor omnidirectional laser type calibrator, which comprises a calibrator shell, a course indicator and a laser transmitter, the course indicator is arranged on the inner side of the calibrator shell, and the center of the bottom of the calibrator shell is connected with a plumb bob through a fine line. A circle of multiple laser emitters are arranged at the bottom of the calibrator shell along the periphery of the thin rope connecting position, multiple positioning grooves corresponding to the multiple laser emitters are formed in the plumb bob, a fixing rod is further horizontally arranged on one side of the calibrator shell, and the calibrator shell and the installation base rotate synchronously. According to the laser type calibrator, horizontal calibration and course calibration are combined together through the laser type calibrator, a course indicator is adopted for course calibration, and course numerical values are displayed in real time through a liquid crystal display. Laser beams are adopted for horizontal calibration, so that the precision and the efficiency are improved.