| 基于多波束测深声呐的海底气体泄漏实时报警系统 |
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| 引用本文： | 张万远,卞红雨,周天,张宏伟.基于多波束测深声呐的海底气体泄漏实时报警系统[J].声学技术,2022,41(6):813-820. |
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| 作者姓名： | 张万远 卞红雨 周天 张宏伟 |
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| 作者单位： | 哈尔滨工程大学 水声技术重点实验室, 黑龙江哈尔滨 150001;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;哈尔滨工程大学水声工程学院, 黑龙江哈尔滨 150001;天津大学机械工程学院, 天津市 300072 |
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| 基金项目： | 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）。 |
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| 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。
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| 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） |
| 收稿时间： | 2021/4/14 0:00:00 |
| 修稿时间： | 2021/6/11 0:00:00 |
A real-time alarm system for subsea gas leakage based on multi-beam bathymetric sonar |
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| ZHANG Wanyuan,BIAN Hongyu,ZHOU Tian,ZHANG Hongwei.A real-time alarm system for subsea gas leakage based on multi-beam bathymetric sonar[J].Technical Acoustics,2022,41(6):813-820. |
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| Authors: | ZHANG Wanyuan BIAN Hongyu ZHOU Tian ZHANG Hongwei |
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| Affiliation: | 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, Chi |
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| Abstract: | 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. |
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| Keywords: | subsea gas leaks real-time image processing multi-beam bathymetric sonar autonomous underwater vehicle (AUV) |
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