Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)

Elevator Group Control Method Based on Face Recognition

Authors
Mingji Yang, Zhen Huang
Corresponding Author
Mingji Yang
Available Online May 2019.
DOI
10.2991/cnci-19.2019.88How to use a DOI?
Keywords
Elevator group control, face recognition, elevator group,elevator scheduling.
Abstract

In order to further improve the efficiency of elevator service, this paper uses the method of face recognition to obtain the number of elevators. In the case of known number of elevators, the elevators in the elevator group are dispatched through the integration of elevator operation status and elevator load. Through theoretical analysis and simulation results, it can be seen that in the elevator group containing two elevators, if the elevator group control method of this paper is adopted, the ratio of passengers in the 60s waiting ladder is lower than that of the existing elevator group. The ladder time has also been reduced, and the method can be applied to an elevator group control system.

Copyright
© 2019, 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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Volume Title
Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
Series
Advances in Computer Science Research
Publication Date
May 2019
ISBN
10.2991/cnci-19.2019.88
ISSN
2352-538X
DOI
10.2991/cnci-19.2019.88How to use a DOI?
Copyright
© 2019, 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/).

Cite this article

TY  - CONF
AU  - Mingji Yang
AU  - Zhen Huang
PY  - 2019/05
DA  - 2019/05
TI  - Elevator Group Control Method Based on Face Recognition
BT  - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019)
PB  - Atlantis Press
SP  - 635
EP  - 640
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnci-19.2019.88
DO  - 10.2991/cnci-19.2019.88
ID  - Yang2019/05
ER  -