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基于粒子群算法的海底缆线磁探测定位方法优化

Optimization of Submarine Cable Localization Method Based on Particle Swarm Optimization
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摘要 [目的]为解决基于复合磁阵列的海底缆线定位解析算法在实际探测过程中出现的精度降低和失去定位能力的问题,[方法]引入粒子群算法,对原有定位方法进行求解优化。通过仿真和物模试验,对优化方法的有效性进行验证。[结果]结果表明:经过优化后的埋深定位误差小于0.30m,平均误差0.24m;走向定位误差小于15.00°,平均误差8.22°;截距定位误差小于0.30m,平均误差0.15m。[结论]提出的优化方法可有效解决磁异常数据存在干扰情况下解析定位方法精度受到大幅影响的问题,为海底缆线的精细定位提供一定参考。 [Purpose]To solve the problems of decreased accuracy and loss of positioning ability in the actual detection process of the underwater cable positioning analysis algorithm based on composite magnetic arrays,[Method]The particle swarm optimization algorithm is introduced to solve and optimize the original positioning method.The effectiveness of the optimization method is verified through simulation and physical modeling experiments.[Result]The results show that the optimized burial depth positioning error is less than 0.30 m,with an average error of 0.24 m;the orientation positioning error is less than 15.00°,with an average error of 8.22°;The intercept positioning error is less than 0.30 m,with an average error of 0.15 m.[Conclusion]The proposed optimization method can effectively solve the problem of significant impact of magnetic anomaly data interference on the accuracy of analytical positioning methods,providing a certain reference for the fine positioning of submarine cables.
作者 吴啸 王绵进 黄元星 惠然 梁晓锋 WU Xiao;WANG Mianjin;HUANG Yuanxing;HUI Ran;LIANG Xiaofeng(MOE Key Laboratory of Marine Intelligent Equipment and System,Shanghai Jiao Tong University,Shanghai 200240,China;Jiangnan Institute of Technology,Jiangnan Shipyard(Group)Co.,Ltd.,Shanghai 201913,China;Marine Design and Research Institute of China,Shanghai 201100,China)
出处 《船舶工程》 北大核心 2025年第7期154-160,共7页 Ship Engineering
基金 国防基础科研计划资助(JCKY2023206A023) 基础加强计划资助(2020-JCJQ-ZD-206-00)。
关键词 海底缆线 粒子群算法 磁阵列 探测和定位 submarine cable particle swarm optimization magnetic array detection and localization
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