Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data
Abstract Currently, the task of developing the Arctic shelf is relevant, because there are proven reserves of minerals – oil and gas. Undoubtedly, researchers and engineers, after installing the appropriate underwater infrastructure, will face the task of maintenance and repair of communications. Fo...
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Online Access: | http://dx.doi.org/10.1088/1755-1315/302/1/012159 https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012159/pdf https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012159 |
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crioppubl:10.1088/1755-1315/302/1/012159 2024-06-02T08:02:26+00:00 Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data Frolov, D A Gromoshinsky, D A Korsakov, A M Yu Smirnova, E 2019 http://dx.doi.org/10.1088/1755-1315/302/1/012159 https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012159/pdf https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012159 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 302, issue 1, page 012159 ISSN 1755-1307 1755-1315 journal-article 2019 crioppubl https://doi.org/10.1088/1755-1315/302/1/012159 2024-05-07T14:05:08Z Abstract Currently, the task of developing the Arctic shelf is relevant, because there are proven reserves of minerals – oil and gas. Undoubtedly, researchers and engineers, after installing the appropriate underwater infrastructure, will face the task of maintenance and repair of communications. For this purpose, autonomous unmanned underwater vehicles (AUV) can be used, with e.g. the task of inspecting pipelines. The article describes the processing algorithm for the signal from passive ferromagnetic sensors mounted on an AUV carrier used to search for metal-containing objects at the sea bottom. A scheme for such a measurement is proposed - the installation of two sensors at opposite ends of the carrier. This allows to measure the gradient of magnetic field between the sensors. The characteristic form of such a signal and the dependence of the signal on the motion parameters of the vehicle and external factors are determined. To eliminate false positives, filters are used based on the readings of the position, speed and orientation sensors of the navigation system. Using data on the motion parameters of the device allows to generate a reference signal, which is used to validate the detection of an object using the cross-correlation method. The use of data on orientation angles makes it possible to compensate for the influence of the orientation of the device in the Earth’s magnetic field. Article in Journal/Newspaper Arctic IOP Publishing Arctic IOP Conference Series: Earth and Environmental Science 302 1 012159 |
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Abstract Currently, the task of developing the Arctic shelf is relevant, because there are proven reserves of minerals – oil and gas. Undoubtedly, researchers and engineers, after installing the appropriate underwater infrastructure, will face the task of maintenance and repair of communications. For this purpose, autonomous unmanned underwater vehicles (AUV) can be used, with e.g. the task of inspecting pipelines. The article describes the processing algorithm for the signal from passive ferromagnetic sensors mounted on an AUV carrier used to search for metal-containing objects at the sea bottom. A scheme for such a measurement is proposed - the installation of two sensors at opposite ends of the carrier. This allows to measure the gradient of magnetic field between the sensors. The characteristic form of such a signal and the dependence of the signal on the motion parameters of the vehicle and external factors are determined. To eliminate false positives, filters are used based on the readings of the position, speed and orientation sensors of the navigation system. Using data on the motion parameters of the device allows to generate a reference signal, which is used to validate the detection of an object using the cross-correlation method. The use of data on orientation angles makes it possible to compensate for the influence of the orientation of the device in the Earth’s magnetic field. |
format |
Article in Journal/Newspaper |
author |
Frolov, D A Gromoshinsky, D A Korsakov, A M Yu Smirnova, E |
spellingShingle |
Frolov, D A Gromoshinsky, D A Korsakov, A M Yu Smirnova, E Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data |
author_facet |
Frolov, D A Gromoshinsky, D A Korsakov, A M Yu Smirnova, E |
author_sort |
Frolov, D A |
title |
Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data |
title_short |
Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data |
title_full |
Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data |
title_fullStr |
Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data |
title_full_unstemmed |
Improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data |
title_sort |
improving the detection of underwater metal-containing objects by fusion of ferromagnetic sensors data with vehicle’s navigational data |
publisher |
IOP Publishing |
publishDate |
2019 |
url |
http://dx.doi.org/10.1088/1755-1315/302/1/012159 https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012159/pdf https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012159 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
IOP Conference Series: Earth and Environmental Science volume 302, issue 1, page 012159 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/302/1/012159 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
302 |
container_issue |
1 |
container_start_page |
012159 |
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1800746933748236288 |