Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Blade Detection Robot

Authors
Nanyu Kuang
Corresponding Author
Nanyu Kuang
Available Online December 2017.
DOI
https://doi.org/10.2991/mcei-17.2017.69How to use a DOI?
Keywords
Centrifugal fan; Internet plus; Big data; Crawl along the surface
Abstract
At present, the traditional testing of wind farms is manual testing. But the safety and economy of manual detection are limited. Some companies use the UAV to detect fan blades failure. However, unmanned aerial vehicles equipped with infrared devices in the long-range detection is easily affected by the environment, the size of the type of injury is not easy to accurately determine the size. Therefore, based on the detection of various problems in the process of blades, we propose a robot to detect fan blades. The blade detection robot can generate pressure on the surface of the fan blade by centrifugal fan. This provides the necessary friction for the machine to crawl along the surface of the fan. The machine takes pictures of the fan blades by means of the high definition camera. In addition, the robot installed an infrared sensor to detect the surface of the fan blade. Data collected by robots and HD images are continuously analyzed. The use of big data and Internet plus concept, testing personnel will detect the information of the robot from discrimination, greatly improve the safety and reliability of wind turbine blade detection, also improves the detection efficiency.
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Proceedings
2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Part of series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-17.2017.69How 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  - Nanyu Kuang
PY  - 2017/12
DA  - 2017/12
TI  - Blade Detection Robot
BT  - 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 317
EP  - 321
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.69
DO  - https://doi.org/10.2991/mcei-17.2017.69
ID  - Kuang2017/12
ER  -