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作 者:张万远 卞红雨 周天[1,2,3] 张宏伟 ZHANG Wanyuan;BIAN Hongyu;ZHOU Tian;ZHANG Hongwei(Acoustic Science and Technology Laboratory,Harbin Engineering University,Harbin 150001,Heilongjiang,China;Key Laboratory of Marine Information Acquisition and Security,Harbin Engineering University,Harbin 150001,Heilongjiang,China;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,Heilongjiang,China;College of Mechanical Engineering,Tianjin University,Tianjin 300072,China)
机构地区:[1]哈尔滨工程大学水声技术重点实验室,黑龙江哈尔滨150001 [2]海洋信息获取与安全工信部重点实验室(哈尔滨工程大学),黑龙江哈尔滨150001 [3]哈尔滨工程大学水声工程学院,黑龙江哈尔滨150001 [4]天津大学机械工程学院,天津市300072
出 处:《声学技术》2022年第6期813-820,共8页Technical Acoustics
基 金:NSFC-浙江两化融合联合基金资助项目(U1709203);国家科技重大专项项目(2016ZX05057)。
摘 要:随着人们对海底油气资源的开发,在海底铺设的管道越来越多,海底管道泄漏风险日益增加,亟需高效、实时的检测方法。文章利用自主式水下航行器(Autonomous Underwater Vehicle, AUV)平台,搭载多波束测深声呐与基于VxWorks的嵌入式处理单元,设计了一套水下气体泄漏自动检测系统,将多波束测深声呐采集的水体图像数据传送给嵌入式处理单元,采用模板匹配方法对图像数据进行处理,完成对海底管道气体泄漏点的实时检测。湖试和海试都验证了该系统方案的有效性与先进性。With the development of undersea oil and gas resources, more and more subsea pipelines have been laid on the seabed. There are also a large number of offshore pipelines will be constructed in the future. However, the risk of subsea pipeline leakage is increasing, and meanwhile, the efficient and real-time detection methods are urgently needed. In this paper, a set of underwater automatic gas leakage detection system is developed by using the Autonomous Underwater Vehicle(AUV) platform carrying the multi-beam bathymetric sonar and embedded processing unit with VxWorks. In this system, the water column image data collected by the multi-beam bathymetric sonar transmit to the embedded processing unit firstly, and then the template matching method is used to process the image data and complete the real-time detection of subsea pipeline. The efficiency and advance of the system have been verified by lake and sea trials.
关 键 词:水下泄漏气体 实时图像处理 多波束测深声呐 自主式水下航行器(AUV)
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