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

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 606
EP  - 610
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.81
DO  - 10.2991/aest-16.2016.81
ID  - Chen2016/11
ER  -