5 results about "Particle velocity" patented technology

The invention relates to a method for calculating porous medium two-phase flow energy dissipation based on a particle velocity measurement method, and belongs to the technical field of porous medium seepage mechanics experiments. The invention discloses a method for calculating porous medium two-phase flow energy dissipation based on a particle velocity measurement method. The method comprises the following steps: preparing a transparent pore medium microscopic model with a specific microscopic pore structure; carrying out a visual multiphase flow experiment on the pore medium microscopic model; determining external input work based on the inlet and outlet pressure data; accurate calibration of space and phase state is carried out on the original image, and interface energy is obtained through calculation; determining a velocity vector of a non-wetting phase in an experiment based on a particle velocity measurement method, and calculating to obtain kinetic energy; and determining the ratio of energy dissipation to total energy in the multiphase flow system based on external input work, interface energy and kinetic energy. According to the method, the conversion from a visual flow image to a quantitative energy component can be realized, and the viscous dissipation and the interface energy in the displacement process are accurately calculated, so that an energy dissipation mechanism is disclosed, and a key data support is provided for engineering optimization and numerical simulation.

Systems and methods may be used to reconstruct particle velocity wavefields from coupling-calibrated fiber-optic data that subsequently enables physically valid construction of the particle velocity wavefields for a hybrid sensor array including both fiber-optic and particle motion sensors. These systems and methods may be used in a variety of borehole geophysical applications, such as structure and reservoir imaging, impedance inversion, attenuation tomography, micro-seismic fracture imaging, focal mechanism analysis, and so on. The systems and methods may also be used in other applications such as geothermal and CO2 storage monitoring.

The application relates to a vector sound field fast prediction method and device based on ray theory and relates to the technical field of underwater acoustics. In order to solve the problems that the differential method prediction causes the increase of calculation amount, the reduction of calculation efficiency and the superposition method causes the reduction of the precision of particle velocity prediction in the prior art, the technical scheme is as follows: the vector sound field fast prediction method based on ray theory comprises the following steps: collecting preset marine parameters, sound source parameters and receiver parameters, obtaining the sound ray track from the sound source to the receiver and the time delay parameters corresponding to the track points on the track according to the parameters; obtaining the sound beam equation of the sound ray emitted at a preset grazing angle from a to-be-simulated point according to the sound ray track and the time delay parameters; obtaining the particle velocity of the to-be-simulated point in the tangent direction of the sound ray track according to the sound beam equation; and obtaining the sound pressure, the particle velocity in the horizontal direction and the particle velocity in the vertical direction of the to-be-simulated point according to the sound beam equation, the particle velocity and the sound ray track. The application is suitable for the work of the vector sound field fast prediction.

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.

In example implementations described herein, there are systems and methods for performing predictive maintenance which can include collecting vibration data related to an operation of a first machine during a first time period, computing sound data related to the operation of the first machine during the first time period based on the collected vibration data, and predicting, based on the computed sound data, at least one value associated with a maintenance of the first machine. In some aspects, the systems and methods may further include measuring an acoustic transfer function relating the vibration data related to the operation of the first machine to one or more of the sound pressure data or the particle velocity data.