Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Automated Detecting System for Elevator Guide Rails Based on Tilt Sensors and Acceleration Sensors

Authors
Yifeng Yang, Wei Guo, Yujun Wang, Wenxiu Lu
Corresponding Author
Yifeng Yang
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.51How to use a DOI?
Keywords
elevator guide rails; straightness; verticality; step deviation
Abstract
Straightness, verticality and step height deviation are the main parameters to evaluate the safe and stable operation of the elevator. One kind of automated detecting system is devised to detect these multiple parameters of elevator guide rails at the same time exactly and efficiently. The detecting system, which is powered by a traction machine, is based on tilt sensors and acceleration sensors. The detecting system can verify the installation of elevator guide rails and the detection efficiency can be greatly improved.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.51How 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  - Yifeng Yang
AU  - Wei Guo
AU  - Yujun Wang
AU  - Wenxiu Lu
PY  - 2018/02
DA  - 2018/02
TI  - Automated Detecting System for Elevator Guide Rails Based on Tilt Sensors and Acceleration Sensors
BT  - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.51
DO  - https://doi.org/10.2991/csece-18.2018.51
ID  - Yang2018/02
ER  -