Underwater Cable Localization Method Based on Beetle Swarm Optimization Algorithm
Dear Editor, This letter concerns the localization of three-core underwater cables which are widely deployed for offshore energy transmission. It is a non-trivial problem, since the external magnetic field of three-core underwater cables is variable which reduces the accuracy of localization. To sol...
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Veröffentlicht in: | IEEE/CAA journal of automatica sinica 2023-09, Vol.10 (9), p.1893-1895 |
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description | Dear Editor, This letter concerns the localization of three-core underwater cables which are widely deployed for offshore energy transmission. It is a non-trivial problem, since the external magnetic field of three-core underwater cables is variable which reduces the accuracy of localization. To solve this problem, in this letter, an approximate equation is firstly derived to formulate the external magnetic field of a three-core armored underwater cable by considering the seafloor environments and the structure of three-core cables. Then, a new underwater cable localization method is proposed based on dual three-axis magnetic sensor array and the beetle swarm optimization (BSO) algorithm. The method constructs a fitness function based on the magnetic flux density amplitude and replaces the existing analytical geometry method with an optimization algorithm to achieve underwater cable localization with higher accuracy. |
doi_str_mv | 10.1109/JAS.2022.106073 |
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It is a non-trivial problem, since the external magnetic field of three-core underwater cables is variable which reduces the accuracy of localization. To solve this problem, in this letter, an approximate equation is firstly derived to formulate the external magnetic field of a three-core armored underwater cable by considering the seafloor environments and the structure of three-core cables. Then, a new underwater cable localization method is proposed based on dual three-axis magnetic sensor array and the beetle swarm optimization (BSO) algorithm. The method constructs a fitness function based on the magnetic flux density amplitude and replaces the existing analytical geometry method with an optimization algorithm to achieve underwater cable localization with higher accuracy.</description><identifier>ISSN: 2329-9266</identifier><identifier>EISSN: 2329-9274</identifier><identifier>DOI: 10.1109/JAS.2022.106073</identifier><language>eng</language><publisher>Piscataway: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</publisher><subject>Algorithms ; Energy transmission ; Flux density ; Localization method ; Magnetic fields ; Magnetic flux ; Ocean floor ; Optimization ; Sensor arrays ; Submarine cables</subject><ispartof>IEEE/CAA journal of automatica sinica, 2023-09, Vol.10 (9), p.1893-1895</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c304t-3b12119af09855f0229efcf23c66d2f0cc52d14f9e9fafe9f933716e7fe41b743</citedby><cites>FETCH-LOGICAL-c304t-3b12119af09855f0229efcf23c66d2f0cc52d14f9e9fafe9f933716e7fe41b743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/zdhxb-ywb/zdhxb-ywb.jpg</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Huang, Wenchao</creatorcontrib><creatorcontrib>Pan, Zhijun</creatorcontrib><creatorcontrib>Xu, Zhezhuang</creatorcontrib><title>Underwater Cable Localization Method Based on Beetle Swarm Optimization Algorithm</title><title>IEEE/CAA journal of automatica sinica</title><description>Dear Editor, This letter concerns the localization of three-core underwater cables which are widely deployed for offshore energy transmission. It is a non-trivial problem, since the external magnetic field of three-core underwater cables is variable which reduces the accuracy of localization. To solve this problem, in this letter, an approximate equation is firstly derived to formulate the external magnetic field of a three-core armored underwater cable by considering the seafloor environments and the structure of three-core cables. Then, a new underwater cable localization method is proposed based on dual three-axis magnetic sensor array and the beetle swarm optimization (BSO) algorithm. The method constructs a fitness function based on the magnetic flux density amplitude and replaces the existing analytical geometry method with an optimization algorithm to achieve underwater cable localization with higher accuracy.</description><subject>Algorithms</subject><subject>Energy transmission</subject><subject>Flux density</subject><subject>Localization method</subject><subject>Magnetic fields</subject><subject>Magnetic flux</subject><subject>Ocean floor</subject><subject>Optimization</subject><subject>Sensor arrays</subject><subject>Submarine cables</subject><issn>2329-9266</issn><issn>2329-9274</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpFkMtrwkAQh5fSQsV67jXQWyE6-0rco0qfWKRYz8sm2dVIXt2spPrXdyV9XGbmBx8zw4fQLYYxxiAmr7P1mAAhYwwRxPQCDQglIhQkZpd_cxRdo1Hb7gEAEx5Hgg3Q-6bKtO2U0zZYqKTQwbJOVZGflMvrKnjTbldnwVy1Ogt8nmvtPLPulC2DVePy8pecFdva5m5X3qAro4pWj376EG0eHz4Wz-Fy9fSymC3DlAJzIU0wwVgoA2LKufG_C21SQ2gaRRkxkKacZJgZoYVRxhdBaYwjHRvNcBIzOkT3_d5OVUZVW7mvD7byF-Up230l8tgl3ggFARg8fNfDja0_D7p1_zSZckwZ54J4atJTqa3b1mojG5uXyh4lBnn2LL1nefYse8_0G8ibb2E</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Huang, Wenchao</creator><creator>Pan, Zhijun</creator><creator>Xu, Zhezhuang</creator><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20230901</creationdate><title>Underwater Cable Localization Method Based on Beetle Swarm Optimization Algorithm</title><author>Huang, Wenchao ; Pan, Zhijun ; Xu, Zhezhuang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c304t-3b12119af09855f0229efcf23c66d2f0cc52d14f9e9fafe9f933716e7fe41b743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Energy transmission</topic><topic>Flux density</topic><topic>Localization method</topic><topic>Magnetic fields</topic><topic>Magnetic flux</topic><topic>Ocean floor</topic><topic>Optimization</topic><topic>Sensor arrays</topic><topic>Submarine cables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Wenchao</creatorcontrib><creatorcontrib>Pan, Zhijun</creatorcontrib><creatorcontrib>Xu, Zhezhuang</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>IEEE/CAA journal of automatica sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Wenchao</au><au>Pan, Zhijun</au><au>Xu, Zhezhuang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Underwater Cable Localization Method Based on Beetle Swarm Optimization Algorithm</atitle><jtitle>IEEE/CAA journal of automatica sinica</jtitle><date>2023-09-01</date><risdate>2023</risdate><volume>10</volume><issue>9</issue><spage>1893</spage><epage>1895</epage><pages>1893-1895</pages><issn>2329-9266</issn><eissn>2329-9274</eissn><abstract>Dear Editor, This letter concerns the localization of three-core underwater cables which are widely deployed for offshore energy transmission. It is a non-trivial problem, since the external magnetic field of three-core underwater cables is variable which reduces the accuracy of localization. To solve this problem, in this letter, an approximate equation is firstly derived to formulate the external magnetic field of a three-core armored underwater cable by considering the seafloor environments and the structure of three-core cables. Then, a new underwater cable localization method is proposed based on dual three-axis magnetic sensor array and the beetle swarm optimization (BSO) algorithm. The method constructs a fitness function based on the magnetic flux density amplitude and replaces the existing analytical geometry method with an optimization algorithm to achieve underwater cable localization with higher accuracy.</abstract><cop>Piscataway</cop><pub>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</pub><doi>10.1109/JAS.2022.106073</doi><tpages>3</tpages></addata></record> |
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subjects | Algorithms Energy transmission Flux density Localization method Magnetic fields Magnetic flux Ocean floor Optimization Sensor arrays Submarine cables |
title | Underwater Cable Localization Method Based on Beetle Swarm Optimization Algorithm |
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