大型水电工程百米级引水竖井的病害检测技术

唐炉亮; 字陈波; 李清泉; 初旭; 刘海波; 陈西; 孙飞

doi:10.11947/j.AGCS.2018.20170522

测绘学报 >

2018 , Vol. 47 >Issue 2: 260 - 268

DOI: https://doi.org/10.11947/j.AGCS.2018.20170522

大型水电工程百米级引水竖井的病害检测技术

唐炉亮 ,
字陈波 ,
李清泉 ,
初旭 ,
刘海波 ,
陈西 ,
孙飞

展开

1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079;
2. 华能澜沧江水电股份有限公司, 云南昆明 650214;
3. 深圳大学空间信息智能感知与服务深圳市重点实验室, 广东深圳 518060

唐炉亮(1973-),男,博士,教授,研究方向为时空GIS、时空大数据挖掘、精密工程测量等。E-mail:tll@whu.edu.cn

收稿日期: 2017-09-14

修回日期: 2017-11-27

网络出版日期: 2018-03-02

基金资助

国家重点研发计划（2017YFB0503604；2016YFE0200400）；国家自然科学基金（41671442；41571430；41271442）

收起

Defect Detecting Technology for over 100-meter Shaft

TANG Luliang ,
ZI Chenbo ,
LI Qingquan ,
CHU Xu ,
LIU Haibo ,
CHEN Xi ,
SUN Fei

Expand

1. State Key Laboratory of Information and Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
2. Huaneng Lancang River Hydropower Co. Ltd., Kunming 650214, China;
3. Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China

Received date: 2017-09-14

Revised date: 2017-11-27

Online published: 2018-03-02

Supported by

The National Key Research and Development Program of China (Nos. 2017YFB0503604;2016YFE0200400);The National Natural Science Foundation of China (Nos. 41671442;41571430;41271442)

Fold

摘要

大型水电站引水道竖井段的混凝土病害检测，直接涉及水电站的安全运行。针对大型水电站百米级引水竖井数据获取与病害检测的国际性难题，本文提出一种以无人系留飞艇为浮空装载平台，集成多传感器的百米级垂直竖井检测方案；自主研制了竖井环境适应性强的圆柱形无人系留飞艇浮空装载平台，集成全景CCD相机、三维激光扫描仪、惯性导航测量单元、气压高度计、照明模块、控制模块等多传感器，自主研制了全球首台百米级竖井数据获取与病害检测装备，于2017年5-7月在云南糯扎渡水电厂2、3、4号200 m级引水道竖井现场进行了试验。结果表明，检测装置能够满足大型水电站百米级竖井引水道的检修工作，填补了百米级竖井检测的国际空白，具有较好的应用前景。

关键词： 病害检测; 数据获取; 竖井; 水电站; 3S技术

本文引用格式

唐炉亮 , 字陈波 , 李清泉 , 初旭 , 刘海波 , 陈西 , 孙飞 . 大型水电工程百米级引水竖井的病害检测技术[J]. 测绘学报, 2018 , 47(2) : 260 -268 . DOI: 10.11947/j.AGCS.2018.20170522

Abstract

Concrete defect detection of diversion shafts in large hydropower station has a direct impact on the safe operation of the station,endangering the lives of cities and millions of people downstream.However,the research on the detection of the 100-meter-level shafts is still a blank in the world.It is a "blind spots" in detection field.In this paper,a method of integrating multiple mapping sensors based on unmanned airship is proposed to resolve the international problem of data acquisition and disease detection in vertical profile the diversion shafts in hydropower stations; We have designed a brand new device to acquire data and detect the disease of the shafts:a cylindrical unmanned airship adapted to the shafts environment is the floating loading platform,on which multi-sensors such as panoramic CCD camera,3D laser scanner,inertial measurement unit,barometric altimeter,illumination module and control module etc is integrated.Trial implemented inside the No.2,No.3 and No.4 shafts of Nuozhadu hydropower station from May 2017 to July,indicates that the detection device can be well applied for the overhaul of similar vertical profile.The detecting device fills the gap of 100-meter-level shaft detection field and presents a wide application prospect.

Key words： defect detecting; data acquisition; 100-meters shaft; hydropower station; 3S technology

参考文献

[1] 张宗亮. 糯扎渡水电站工程特点及关键技术研究[J]. 水力发电, 2005, 31(5):4-7. ZHANG Zongliang. The Project Characteristics of Nuozhadu Hydropower Station and Its Key Technology Research Results[J]. Water Power, 2005, 31(5):4-7.
[2] 张宗亮, 袁友仁, 冯业林. 糯扎渡水电站高心墙堆石坝关键技术研究[J]. 水力发电, 2006, 32(11):5-8. ZHANG Zongliang, YUAN Youren, FENG Yelin. Study on Key Techniques of Nuozhadu's Earth Core Rockfill Dam[J]. Water Power, 2006, 32(11):5-8.
[3] BRENNAN T S, ZHANG Qinfen. Hydropower Advancement Project:Best Practice Catalog[R]. Revision 1.0, 1/20/2012. Chattanooga, TN:Mesa Associates, Inc., 2012.
[4] 董安国, 张仙艳, 薛宏智, 等. 混凝土表面裂缝检测的多级聚类算法[J]. 交通运输工程学报, 2013, 13(6):7-13. DONG Anguo, ZHANG Xianyan, XUE Hongzhi, et al. Multi-Level Clustering Algorithm for Crack Detection of Concrete Surface[J]. Journal of Traffic and Transportation Engineering, 2013, 13(6):7-13.
[5] 单宝华, 申宇. 立体视觉方法在混凝土表面裂缝检测中的应用[J]. 工程力学, 2013, 30(9):125-131. SHAN Baohua, SHEN Yu. Application of Stereovision Method to Detect Concrete Surface Crack[J]. Engineering Mechanics, 2013, 30(9):125-131.
[6] 宋福春, 王彬. 超声波法检测混凝土裂缝注胶质量[J]. 沈阳工业大学学报, 2017, 39(1):109-115. SONG Fuchun, WANG Bin. Ultrasonic Detection for Glue-injection Quality of Cracks in Concrete[J]. Journal of Shenyang University of Technology, 2017, 39(1):109-115.
[7] 田晖, 辛纯涛, 张坤. 超声波单面平测法检测混凝土构件裂缝深度可靠性分析[J]. 兰州理工大学学报, 2013, 39(6):133-136. TIAN Hui, XIN Chuntao, ZHANG Kun. The Reliability Analysis on Single Plane Detecting of Ultrasonic Wave for the Concrete Structures Crack Depth[J]. Journal of Lanzhou University of Technology, 2013, 39(6):133-136.
[8] 邓安仲, 赵启林, 李胜波, 等. 混凝土裂缝红外热成像分布式监测技术研究[J]. 建筑材料学报, 2013, 16(2):284-288. DENG Anzhong, ZHAO Qilin, LI Shengbo, et al. Study on Distributed Monitoring Technology of Infrared Thermal Image of Concrete Crack[J]. Journal of Building Materials, 2013, 16(2):284-288.
[9] 王杰, 张勇, 李向辉, 等. 混凝土受压破坏过程声发射和红外热像特性研究[J]. 水利水电技术, 2016, 47(10):106-108, 146. WANG Jie, ZHAGN Yong, LI Xianghui, et al. Study on Characteristics of Acoustic Emission and Infrared Thermal Imaging during Compressive Damage of Concrete[J]. Water Resources and Hydropower Engineering, 2016, 47(10):106-108, 146.
[10] 杨天俊. 三维激光扫描技术在拉西瓦水电站工程中的应用[J]. 西北水电, 2013(1):4-6, 18. YANG Tianjun. Application of 3D Laser Scanning Technology in Construction of Laxiwa Hydropower Project[J] Northwest Hydropower, 2013(1):4-6, 18.
[11] 李小顺, 冯艺, 彭望. 三维激光扫描技术在引水隧洞检修中的应用[J]. 人民长江, 2017, 48(2):74-78. LI Xiaoshun, FENG Yi, PENG Wang. Application of 3D Laser Scanning Technology in Diversion Tunnel Detection[J]. Yangtze River, 2017, 48(2):74-78.
[12] Hibbard Inshore LLC. Long Range Tailrace, Pressure Shaft and Penstock Inspection[J]. International Water Power & Dam Construction, 2005(10):37-38.
[13] Hibbard Inshore LLC. ROV Underwater Inspection of Long Tunnels for Snowy Hydro[EB/OL]. http://www.hibbardinshore.com/rov-underwater-inspection-of-long-tunnels-for-snowy-hydro/.
[14] 程争刚, 张利. 一种基于无人机位姿信息的航拍图像拼接方法[J]. 测绘学报, 2016, 45(6):698-705. DOI:10.11947/j.AGCS.2016.20150567. CHENG Zhenggang, ZHANG Li. An Aerial Image Mosaic Method Based on UAV Position and Attitude Information[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(6):698-705. DOI:10.11947/j.AGCS.2016.20150567.
[15] 吴云东, 张强. 立体测绘型双翼民用无人机航空摄影系统的实现与应用[J]. 测绘科学技术学报, 2009, 26(3):161-164, 169. WU Yundong, ZHANG Qiang. Implementation and Application of Aerial Photographic System by Civil Unmanned Biplane for Survey and Stereo Mapping[J]. Journal of Geomatics Science and Technology, 2009, 26(3):161-164, 169.
[16] DE MARINA H G, PEREDA F J, GIRON-SIERRA J M, et al. UAV Attitude Estimation Using Unscented Kalman Filter and TRIAD[J]. IEEE Transactions on Industrial Electronics, 2016, 59(11):4465-4474.
[17] NIETHAMMER U, JAMES M R, ROTHMUND S, et al. UAV-based Remote Sensing of the Super-Sauze Landslide:Evaluation and Results[J]. Engineering Geology, 2012, 128:2-11.
[18] BALAGUER C, MONTERO R, VICTORES J G, et al. Towards Fully Automated Tunnel Inspection:A Survey and Future Trends[C]//Proceedings of the 31st International Symposium on Automation and Robotics in Construction and Mining (ISARC). Sydney, Australia:IAARC, 2014:19-33.
[19] MONTERO R, VICTORES J G, MARTÍNES S, et al. Past, Present and Future of Robotic Tunnel Inspection[J]. Automation in Construction, 2015, 59:99-112.
[20] LOUPOS K, DOULAMIS A D, STENTOUMIS C, et al. Autonomous Robotic System for Tunnel Structural Inspection and Assessment[J]. International Journal of Intelligent Robotics and Applications, 2017. DOI:10.1007/s41315-017-0031-9.
[21] ÖZASLAN T, SHEN SHAOJIE, MULGAONKAR Y, et al. Inspection of Penstocks and Featureless Tunnel-like Environments Using Micro UAVs[M]//MEJIAS L, CORKE P, ROBERTS J. Field and Service Robotics. Cham:Springer, 2015:123-136.
[22] 左建章. 关于空间信息获取技术的分析[J]. 地理信息世界, 2010, 8(3):45-49. ZUO Jianzhang. Analysis on Acquisition Technology of Digital City Information[J]. Geomatics World, 2010, 8(3):45-49.
[23] 王文龙, 唐炉亮, 李清泉, 等. 一种利用飞艇航拍视频的运动车辆检测方法[J]. 武汉大学学报(信息科学版), 2010, 35(7):786-779. WANG Wenlong, TANG Luliang, LI Qingquan, et al. Vehicle Detection Algorithm with Video from Airborne Camera[J]. Geomatics and Information Science of Wuhan University, 2010, 35(7):786-779.
[24] 王文龙, 李清泉. 基于蒙特卡罗算法的车辆跟踪方法[J]. 测绘学报, 2011, 40(2):200-203. WANG Wenlong, LI Qingquan. A Vehicle Tracking Algorithm with Monte-Carlo Method[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(2):200-203.
[25] 彭晓东, 林宗坚. 无人飞艇低空航测系统[J]. 测绘科学, 2009, 34(4):11-14, 20. PENG Xiaodong, LIN Zongjian. Unmanned Airship Low Altitude System for Aerial Photogrammetry[J]. Science of Surveying and Mapping, 2009, 34(4):11-14, 20.

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献