An Intelligent Elevator Development and Management System

被引:9
|
作者
Van, Lan-Da [1 ]
Lin, Yi-Bing [1 ]
Wu, Tsung-Han [1 ]
Lin, Yu-Chi [1 ]
机构
[1] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu 300, Taiwan
来源
IEEE SYSTEMS JOURNAL | 2020年 / 14卷 / 02期
关键词
Automobiles; Elevators; Servers; Scheduling; Graphical user interfaces; Internet of Things; Scheduling algorithms; Car scheduling; elevator car operating (ECO) Panel; elevator system; emulator; intelligent; internet of things (IoT); sensor; waiting; travel; journey time; OPTIMIZATION; ALGORITHM;
D O I
10.1109/JSYST.2019.2919967
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:3015 / 3026
页数:12
相关论文
共 50 条
  • [1] INTELLIGENT ELEVATOR MANAGEMENT SYSTEM USING IMAGE PROCESSING
    Narayanan, H. Sai
    Karunamurthy, Vignesh
    Kumar, R. Barath
    SIXTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2014), 2015, 9443
  • [2] Research on Intelligent Elevator Control System
    Jiang, Xiaomei
    Hua, Zhengxiao
    Rui, Yannian
    ADVANCED DESIGNS AND RESEARCHES FOR MANUFACTURING, PTS 1-3, 2013, 605-607 : 1802 - +
  • [3] Development of an intelligent system for pipeline management
    Sinha, SK
    Knight, MA
    UNDERGROUND INFRASTRUCTURE RESEARCH: MUNICIPAL, INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 2001, : 377 - 384
  • [4] KBE based intelligent elevator design system
    Jia, Huaiyu
    Jin, Xianlong
    Li, Zhi
    Jiang, Aiqin
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2004, 16 (06): : 861 - 864
  • [5] Intelligent elevator control and safety monitoring system
    Shi Dan
    Xu Bixi
    2018 3RD ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2018), 2018, 366
  • [6] An Intelligent Detection System For Full Crew Of Elevator Car
    Tan Feigang
    Liu Kaiyuan
    Li Lifeng
    Wang Yang
    2018 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2018), 2018, : 183 - 185
  • [7] Design and Analysis of Elevator based on Intelligent Control System
    Yao, Jin
    PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015), 2015, 126 : 760 - 763
  • [8] The Intelligent Detection System of the Machineroomless Elevator Based on WSN
    Chen Zhijun
    Liu Xin
    Yan Xueqin
    Zhang Ru
    ADVANCED MANUFACTURING SYSTEMS, 2011, 339 : 67 - 70
  • [9] Intelligent elevator detecting system based on neural network
    Li, Yi
    Zhang, Hui-Hui
    Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology, 2010, 36 (04): : 440 - 444
  • [10] Research On Intelligent Lighting System Of Elevator Ground Gap
    Zhang Yanbin
    Feng Shuangchang
    Li Zheyi
    Chen Jie
    2020 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND HUMAN-COMPUTER INTERACTION (ICHCI 2020), 2020, : 25 - 28