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

Large crane real-time safety assessment method based on Mamdani fuzzy inference system

Authors
Jian Chen
Corresponding Author
Jian Chen
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.81How to use a DOI?
Keywords
assessment index; safety assessment method; fuzzy inference; real-time state; large crane in operation.
Abstract
To build a state space evaluation system based on online sensor measuring information, combined with expert experience, a real-time safety assessment method based on Mamdani fuzzy inference system is developed, aiming to monitor safety of large crane in operation and accordingly provide decision support for crane operators. The assessment index system consists of crane's horizontal tilt angle, hook deflection angle and sidewise bending of boom, so the method can assess safety state of the crane in operation from view of the crane's space position. Making a 400ton crawler crane as an experiment object, real-time safety state of crane is evaluated. The result shows that the method described above is of availability, real-time capability and flexibility.
Open Access
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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-16.2016.81How 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  - Jian Chen
PY  - 2016/11
DA  - 2016/11
TI  - Large crane real-time safety assessment method based on Mamdani fuzzy inference system
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.81
DO  - https://doi.org/10.2991/aest-16.2016.81
ID  - Chen2016/11
ER  -