Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Study on automatic detection method for the enclosed turbine runner chamber based on real-time image acquisition and simulation comparison techniques

Authors
Yunlong Liu, Xiangwei Yang, Dengke Li, Dingjie Shen, Jianwei Zou
Corresponding Author
Yunlong Liu
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.87How to use a DOI?
Keywords
real-time image acquisition; simulation comparison; decompression panel; water board; automatic detection; enclosed turbine runner chamber.
Abstract
According to the technical problems of the existing testing methods for the key hidden metal components (such as the decompression panel and the water board) of the turbine runner chamber, such as the poor reliability, the inaccurate locating and the larger detection blind spots of the detection device, under the downtime without opening the cover of the hydropower turbine runner chamber, an automatic detection method for the enclosed turbine runner chamber based on real-time image acquisition and simulation comparison techniques was proposed. The magnetic crawler with permanent magnet wheel could carry the real-time image acquisition device to complete the crawling work on the inner surface of the enclosed chamber, and collected the real-time scene image of the enclosed chamber. According to the obtained location by using the positioning auxiliary device, the position of the real-time detection image in a virtual 3-D model was calibrated. Through comparing of the real-time detection images and the computer simulation images, the defects or foreign matter fall into could be accurately positioning, so as to repair and clean up conveniently. It has important practical value to realize the automatic detection of the difficult demolition and complicated metal components of the enclosed turbine runner chamber, to ensure the safety and reliability of operation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/aest-16.2016.87How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yunlong Liu
AU  - Xiangwei Yang
AU  - Dengke Li
AU  - Dingjie Shen
AU  - Jianwei Zou
PY  - 2016/11
DA  - 2016/11
TI  - Study on automatic detection method for the enclosed turbine runner chamber based on real-time image acquisition and simulation comparison techniques
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 650
EP  - 654
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.87
DO  - https://doi.org/10.2991/aest-16.2016.87
ID  - Liu2016/11
ER  -