Defect Detecting Technology for over 100-meter Shaft

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

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.

Cite this article

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 . DOI: 10.11947/j.AGCS.2018.20170522

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