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基于能耗最优的TLP张力腿水下无线监测组网方法研究
引用本文:甘祥吉,黄龚赛,武文华.基于能耗最优的TLP张力腿水下无线监测组网方法研究[J].海洋工程,2022,40(3):139-148.
作者姓名:甘祥吉  黄龚赛  武文华
作者单位:大连理工大学 运载工程与力学学部 工业装备结构分析国家重点实验室,辽宁 大连 116024,大连理工大学 运载工程与力学学部 工业装备结构分析国家重点实验室,辽宁 大连 116024;大连理工大学宁波研究院,浙江 宁波 315016
基金项目:国家自然科学基金项目(U1906233);山东省联合基金项目(2019JZZY010801);基本科研业务费重点类项目(DUT20ZD213,DUT20LAB308)
摘    要:张力腿作为张力腿平台(tension leg platform,简称TLP)的重要组成部分,服役水深大,动力学行为复杂多样。为了保障张力腿的结构安全,开展张力腿的水下全方位监测十分必要。文中以某TLP为依托,构建一套能耗最优的张力腿监测系统。首先,利用附加质量法对张力腿进行湿模态分析,结合有效独立法与模态置信度准则确定张力腿监测节点的具体布设方案;其次,以能耗最低为优化目标,基于遗传算法建立了水下无线组网监测方案,同时讨论了监测节点存在失效时监测数据传输路径改变方案;最终,得到一套能耗最优的TLP张力腿水下无线组网监测方法,以降低水下监测系统维护成本。

关 键 词:TLP  水下无线组网  遗传算法  能耗优化  有效独立法  模态置信度准则
收稿时间:2021/7/20 0:00:00

Underwater wireless networking method for TLP tension leg prototype monitoring based on energy consumption optimal criterion
GAN Xiangji,HUANG Gongsai,WU Wenhua.Underwater wireless networking method for TLP tension leg prototype monitoring based on energy consumption optimal criterion[J].Ocean Engineering,2022,40(3):139-148.
Authors:GAN Xiangji  HUANG Gongsai  WU Wenhua
Institution:State Key Laboratory of Analysis of Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China; State Key Laboratory of Analysis of Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China;Ningbo Institute of Dalian University of Technology, Ningbo 315016, China
Abstract:As the major component of TLP (tension leg platform), tension leg is long term in-service in the deep water and exhibits a complex mechanic behavior. In order to ensure the structural safety of the tension leg, it is necessary to carry out prototype underwater monitoring. Taking a certain TLP platform as an example, we established a wireless networking prototype monitoring system based on energy consumption optimal criterion. At first, a detailed layout scheme is presented for tension leg monitoring based on the efficient individual method and model assurance criteria together with the wet modal analysis considering the structural additional mass. Then, focusing on energy consumption optimization, an underwater wireless networking method is given based on genetic algorithm. The monitoring data transmission plan is studied when there is node failure during in the monitoring process. The data transmission path changing scheme is discussed with the monitoring node failing behavior. Finally, a set of TLP tension leg underwater wireless networking method with optimal energy consumption is obtained to reduce the maintenance cost of underwater monitoring system.
Keywords:TLP  underwater wireless sensor network  genetic algorithm  energy optimization  efficient individual method  modal assurance criteria
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