大型水电工程百米级引水竖井的病害检测技术

doi:10.11947/j.AGCS.2018.20170522

测绘学报 ›› 2018, Vol. 47 ›› Issue (2): 260-268.doi: 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¹, 字陈波², 李清泉^1,3, 初旭¹, 刘海波², 陈西¹, 孙飞¹

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

收稿日期:2017-09-14 修回日期:2017-11-27 出版日期:2018-02-20 发布日期:2018-03-02
通讯作者: 陈西 E-mail:1141003124@qq.com
作者简介: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
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）

Defect Detecting Technology for over 100-meter Shaft

TANG Luliang¹, ZI Chenbo², LI Qingquan^1,3, CHU Xu¹, LIU Haibo², CHEN Xi¹, SUN Fei¹

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:2017-09-14 Revised:2017-11-27 Online:2018-02-20 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)

摘要/Abstract

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

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

中图分类号:

P237

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.

TANG Luliang, ZI Chenbo, LI Qingquan, CHU Xu, LIU Haibo, CHEN Xi, SUN Fei. Defect Detecting Technology for over 100-meter Shaft[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(2): 260-268.

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大型水电工程百米级引水竖井的病害检测技术

Defect Detecting Technology for over 100-meter Shaft

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