[1]张志刚,郭俊,杨嘉斌,等.利用多波束水体成像数据进行管道气体泄漏检测[J].应用科技,2018,45(06):12-16.[doi:10.11991/yykj.201801001]
 ZHANG Zhigang,GUO Jun,YANG Jiabin,et al.Pipeline gas leaking detection with multi-beam water imaging data[J].Applied science and technology,2018,45(06):12-16.[doi:10.11991/yykj.201801001]
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利用多波束水体成像数据进行管道气体泄漏检测(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第45卷
期数:
2018年06期
页码:
12-16
栏目:
船舶与海洋工程
出版日期:
2018-11-05

文章信息/Info

Title:
Pipeline gas leaking detection with multi-beam water imaging data
作者:
张志刚1 郭俊2 杨嘉斌1 蒲定2 张宏伟3
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. 中海石油深海开发有限公司 深水工程建设中心, 广东 深圳 518000;
3. 天津大学 机械工程学院, 天津 300000
Author(s):
ZHANG Zhigang1 GUO Jun2 YANG Jiabin1 PU Ding2 ZHANG Hongwei3
1. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China;
2. Deep Water Engineering Construction Center, CNOOC Deep Development Co., Ltd., Shenzhen 518000, China;
3. College of Mechanical Engineering, Tianjin University, Tianjin 300000, China
关键词:
气体泄漏检测水体成像测深声纳旁瓣抑制底部检测海底管线形态学最大熵
Keywords:
gas leaking inspectionwater column imagingmulti-beam echosoundersidelobe suppressionbottom detectionsubsea pipelinemorphologymaximum entropy
分类号:
P756
DOI:
10.11991/yykj.201801001
文献标志码:
A
摘要:
针对当今海底天然气输送管道泄漏事件频频发生的现象,以多波束测深声纳的水体成像数据作为数据来源,设计了一种针对海底天然气管道的泄漏检测方法。该方法主要结合旁瓣抑制和海底底部检测以提高气体泄漏检测的稳定性和可靠性,通过水体成像数据的预处理、形态学处理、最大熵分割及连通区域目标标记等处理流程,得到泄露气体的疑似目标区域。水体成像数据采用真实水池测试数据,通过检测结果可证明该方法能够有效提取泄漏气体的疑似区域,并为之后水体目标检测、识别奠定基础,具有较好的工程应用前景。
Abstract:
Nowadays, the gas leaking events in subsea gas pipelines are frequently happened. In this paper, a detection algorithm of subsea gas pipeline leakage is proposed, using the multi-beam sonar to get water column imaging data as a data source. The algorithm mainly uses the sidelobe suppression and bottom detection to improve the stability and reliability of the task. The main processing includes pre-processing of water column data, morphological processing, maximum entropy segmentation and the connected area labeling. Then we can confirm the suspected area of the leaking gas. All the water column imaging data is real data of simulating the leaking gas in the pool. The results verify that the algorithm can effectively extract the suspected area of leakage gas and it has a good prospect in engineering application.

参考文献/References:

[1] VON DEIMLING J S, PAPENBERG C. Technical note:detection of gas bubble leakage via correlation of water column multibeam images[J]. Ocean science, 2012, 8(2):175-181.
[2] 阳凡林, 韩李涛, 王瑞福, 等. 多波束声纳水柱影像探测中底层水域目标的研究进展[J]. 山东科技大学学报, 2013, 32(6):75-83.
[3] LI Haisen, GAO Jue, DU Weidong, et al. Object representation for multi-beam sonar image using local higher-order statistics[J]. EURASIP journal on advances in signal processing, 2017(7):1-12.
[4] COLBO K, ROSS T, BROWN C, et al. A review of oceanographic applications of water column data from multibeam echosounders[J]. Estuarine, coastal and shelf science, 2014, 145:41-56.
[5] 刘芝波. 基于多波束水柱影像的沉船最浅点探测[D]. 青岛:山东科技大学, 2015:35-45.
[6] 刘胜旋, 关永贤, 宋永志. 多波束水体影像的归位算法研究与实现[J]. 海洋测绘, 2016, 36(1):43-47.
[7] 蒲定, 张万远, 郭骏, 等. 水中气体目标的多波束声呐成像与检测算法[J]. 应用科技, 2017, 44(5):12-16.
[8] URBAN P, KÖSER K, GREINERT J. Processing of multibeam water column image data for automated bubble/seep detection and repeated mapping[J]. Limnology and oceanography:methods, 2017, 15(1):1-21.
[9] LEIGHTON T G, WHITE P R. Quantification of undersea gas leaks from carbon capture and storage facilities, from pipelines and from methane seeps, by their acoustic emissions[J]. Proceedings of the royal society A:mathematical, physical and engineering sciences, 2012, 468(2138):485-510.
[10] GU J, PYO J, JOE H. A method for automatic detection of underwater objects using forward-looking imaging sonar[C]//Proceedings of OCEANS 2015. Washington, USA, 2015.
[11] 李俊山, 李旭辉. 数字图像处理[M]. 北京:清华大学出版社, 2007:214-223.
[12] 姜莹. 多波束测深系统高分辨力底检测:算法研究与系统实现[D]. 杭州:浙江大学, 2011:40-41.

相似文献/References:

[1]蒲定,张万远,郭骏,等.水中气体目标的多波束声呐成像与检测算法[J].应用科技,2017,44(05):12.[doi:10.11991/yykj.201609015]
 PU Ding,ZHANG Wanyuan,GUO Jun,et al.Multi-beam sonar imaging and detection algorithm of subaqueous bubbles[J].Applied science and technology,2017,44(06):12.[doi:10.11991/yykj.201609015]

备注/Memo

备注/Memo:
收稿日期:2018-01-02。
基金项目:国家科技重大专项项目(2016ZX05057005)
作者简介:张志刚(1982-),男,讲师
通讯作者:张志刚,E-mail:zhigang.zhang@hrbeu.edu.cn
更新日期/Last Update: 2018-11-02