The routing, depth, and location of submarine cables are the key to ensure the maintenance and inspection of submarine cables, so this paper designs a submarine cable localization system based on a dual triaxial fluxgate sensor array. The system uses the AC magnetic field method for submarine cable positioning, and the relationship between the size of the induced electromotive force generated and the distance of the sensor is analyzed by establishing the electromagnetic field model of the energized cable. In this paper, a dual triaxial fluxgate sensor array scheme is adopted, on the basis of which the spatial model of the sensor array and the sea cable is constructed, and the horizontal and vertical offsets of the sea cable relative to the center position of the array are deduced. The overall architecture of the system consists of the sensor array, the multi-channel data acquisition module and the software of the upper computer, which work together to realize the conversion, acquisition, transmission and processing of magnetic signals, and finally accurately solve the position of the sea cable. And the positioning accuracy and positioning range test, its measurement error are satisfied with the system requirements.
The technology for non-contact vibration measurement using video recorded by cameras has rapidly developed in recent years, however, existing methods are unable to effectively handle unstable video sources. This paper proposes a phase vibration measurement algorithm based on digital image stabilization, which employs the Kanade–Lucas–Tomasi feature tracking method to track feature points in the input video and derive affine transformation matrices between adjacent frames. Additionally, it utilizes the random sample consensus algorithm to eliminate outliers and smooth motion trajectories, applies the Hilbert transform to extract the global phase information of the stabilized video, uses the amplitude information to weight the phase information, and designs an adaptive filter to remove noise. Numerical simulations and experiments demonstrate the effectiveness and accuracy of the proposed method.
The parameter information of particle size and position in particle field is of great significance in scientific research, engineering and other fields. In this paper, after the particle hologram is obtained by in-line digital holography, the angular spectrum algorithm is used to reconstruct the particle field, and the amplitude and phase information of the particle field are obtained; The gray gradient compound method is used for particle recognition, and the particles are separated from the background; Then the watershed segmentation algorithm is used to segment the overlapping particles, and the Hough transform is used to extract the particle size, transverse position and other information; Finally, the depth information of particles is determined by Laplace operator function method, and the three-dimensional field distribution of particle field is obtained. The experimental results show that the measurement error of polystyrene particles with standard diameter of 50μm is 1.53μm and the measurement error rate is 3.06%, which proves the feasibility of this method.
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