An Intelligent Elevator Development and Management System

Lan-Da Van, Yi-Bing Lin, Tsung Han Wu, Yu-Chi Lin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper proposes ElevatorTalk, an elevator development and management system based on the Internet of Things (IoT) approach called IoTtalk. This system modularizes the software into elevator components so that we can develop flexible and scalable car scheduling algorithms. ElevatorTalk consists of three subsystems: cars, scheduler, and the elevator car operating (ECO) panel. The first two subsystems are used to develop the elevator systems, and the third subsystem is used to receive requests issued by the passengers. These three subsystems work in parallel, and communicate with each other through sending and receiving messages. ElevatorTalk can connect to a real elevator system to serve as the elevator management center. It can also emulate the existing elevator systems with different car scheduling algorithms. We propose an intelligent aggressive car scheduling with initial car distribution (ACSICD) algorithm in ElevatorTalk. Our paper indicates that ACSICD has better waiting/travel/journey time performance and/or accuracy than the previous proposed algorithms. We also show that in our approach, the car scheduling decision can be quickly made with 0.2010 ms, and therefore good performance in the time complexity is achieved.
Original languageAmerican English
Pages (from-to)3015-3026
Number of pages12
JournalIEEE Systems Journal
Volume14
Issue number2
DOIs
StatePublished - Jun 2020

Keywords

  • Automobiles
  • elevators
  • Servers
  • Scheduling
  • Graphical user interfaces
  • Internet of Things
  • Scheduling Algorithm

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