Research Article
An Intelligent Elevator System Based on Low Power Wireless Networks
@INPROCEEDINGS{10.1007/978-3-030-63941-9_19, author={Congying Yu and Ruize Sun and Qijun Hong and Weiwen Chao and Lei Ning}, title={An Intelligent Elevator System Based on Low Power Wireless Networks}, proceedings={6GN for Future Wireless Networks. Third EAI International Conference, 6GN 2020, Tianjin, China, August 15-16, 2020, Proceedings}, proceedings_a={6GN}, year={2021}, month={1}, keywords={Elevator scheduling Low-power wide-area network Narrow Band Internet of Things Elevator networking}, doi={10.1007/978-3-030-63941-9_19} }- Congying Yu
Ruize Sun
Qijun Hong
Weiwen Chao
Lei Ning
Year: 2021
An Intelligent Elevator System Based on Low Power Wireless Networks
6GN
Springer
DOI: 10.1007/978-3-030-63941-9_19
Abstract
The trend of Internet of Things (IoT) and wireless network techniques have resulted in a promising paradigm, and a more rational and intelligent elevator control system shall be considered. Many previous works are devoted to improving traffic congestion capability to increase time efficiency. However, these approaches confront the limitations of destination perception in advance or there is a steady stream of persons coming to wait the elevator that may increase the uncertainty of sensing the traffic load, since the user interface is still around elevator car. In this paper, an improved elevator system is proposed with remote calling and cloud scheduling based on low power wireless networks. It enables users to call the elevator remotely through portable devices, solves the problem of elevator invalid stop, reduces system energy consumption, and improves the service life of the elevator. It can match the running state of the elevator with the multi-user call request, shorten the time for users to take the elevator, and improve the comprehensive operation efficiency of the elevator.
